Students in our department have a wonderful opportunity to get involved in research at any level in their education at BYU. Undergraduate General Physics, Astronomy, and Applied Physics majors are each required to do research leading to a thesis or capstone report, respectively. Teaching majors are also encouraged to participate also.
We recommend that you get involved in research as early as possible. Below we list opportunities for research with our faculty and suggestions to help you get started. Browse this page and follow the links below to find more information about the various groups. After deciding which opportunities you are most interested in, contact the faculty members listed to find out if they can accept you into the research program and to learn more about what you would be doing. We encourage you to visit with several faculty members before making your final decision.
Research Group Meeting Times
Research groups generally meet weekly during Fall and Winter semesters. These are generally open meetings where visitors are welcome. Some professors have individual research group meetings not listed below.
|Astronomy||Every Other Thursday||12 pm||MARB108|
|Atomic, Molecular, Optical||Contact individual professors|
|Condensed Matter||Wednesday||4 pm||N288|
|Materials for Space Observatories||Wednesday||4 pm||N209|
|Science Education||Wednesday||3 pm||N106|
|Theoretical and Mathematical||Tuesday||3 pm||N209|
How do I choose a research area and find an advisor to work with?
Here’s some suggestions:
- Check out the content below!
- Browse the department's research group pages.
- Attend research group meetings.
- Contact individual professors in the department and ask to meet with them to learn about their research and whether the professor has research projects available to get involved in.
- Find out what alumni do now, who worked in a particular research area.
- Volunteer to help assist an existing student research project.
- Talk to students in that research area to find out what it’s like.
- Just do it! It’s normal to feel shy but research is fun (and required).
- The early bird gets the worm! The longer you wait in the pursuit of your degree, the less likely a professor might be to work with you on a short time scale. Remember, professors are investing time to work with you.
- Applied Physics majors can work on research outside the department’s typical research areas. Talk to your faculty advisor to learn more.
- Interested in Acoustics? Email email@example.com and ask to join the email list.
- Interested in Astronomy? Email firstname.lastname@example.org and ask to join the email list or go to listserv.byu.edu and sign up for it there.
Current Undergraduate students who are not working on research yet are automatically assigned to be academically advised by one of five department faculty members. To find out who your advisor is go to the advising page and after signing in you will see them listed. Your faculty advisor can answer questions you have or give you an overview of research in the department.
- Acoustic virtual reality system to assess teachers' vocal strain
- Measuring the acoustics of elementary school classrooms
- Time reversal acoustic focusing of sound in the presence of a network of scatterers or a network of resonators
- Time reversal acoustics to generate loud environments to test structures
- Time reversal acoustics to study how nonlinearities in the focusing of loud sound
- Using nonlinear acoustics to assess the structural health of Utah's rock arches
- Environmental Noise Monitoring and Modeling
I am working with Dr. Transtrum and graduate students on a project to use machine learning and geospatial features (nighttime radiance, precipitation, forests, etc.) to predict ambient soundscapes throughout the U.S., and eventually, globally. We have a need for 1-2 outdoor-oriented students interested in conducting making sound measurements in different urban and rural environments, formatting the data outputs, analyzing them, and helping to feed them into the machine learning models created by the graduate students.
- Machine learning and crowd noise
This project, with Dr. Transtrum, combines machine learning with crowd noise at sporting events. We want to detect cheering, booing, or even the beginning of crowd violence. This could involve taking data, analyzing them for features that relate to crowd engagement or sentiment, or developing new machine learning models.
We are currently looking for two students, one on the acoustics side for measurement and analysis, and one on the machine learning side.
- Military jet noise
We study the noise radiation from turbulent jet engine exhausts. We've studied the F-22, the F-35, and the T-7A using lots of different methods for the Air Force and the Navy.
I'm looking for 1-2 students to join this group of ~5 students.
- Passive acoustical monitoring of wildlife
Passive acoustic monitoring of wildlife has many purposes, but include studying population health, size, and dynamics. We're currently doing research at the Bear River Migratory Bird Refuge, looking at how water and other environmental factors impact bird choruses. We may also be starting to do rocket noise-related research - as launches can affect noise sensitive species - in California.
I'm looking for a student interested in measurements and analysis.
- Research in shock waves and high-amplitude acoustics
A lot of my research involves high-amplitude noise, like jets, rockets, explosions, and sonic booms. Other possibilities exist - email me to set up an appointment. Numerous publication opportunities are likely.
I'm *always* looking for new students in this area. Right now I'm looking for 2-3 students.
- Computational Underwater Acoustics
Large arrays of hydrophones in the ocean can be used to locate acoustic sources. The reliability of these localization algorithms depends on the degree to which the ocean environment is correctly parameterized in the models.
The computational models for sound propagation in the ocean depend on the ocean environment. My work involves using sound from the ocean to estimate the ocean environment. One part of the research works on determining the sensitivity of different seafloor parameters and determining which seafloors make a big enough difference on the sound propagation to be detected. The other part explores optimizations and how machine learning can be used to identify seafloor properties from different types of sounds.
I am currently looking for two students to join my computational underwater acoustics research. Research in this area will provide a strong foundation in computational skills, numerical modeling, and deep learning, all of which will prepare students for additional opportunities in industry, national laboratories, and graduate school.
- Underwater Acoustical Measurements
Our underwater acoustics lab (U117) has a fully automated system for making acoustic measurements in our water tank (12 ft long by 4 ft wide). Currently measurements are being made test which numerical models accurately predict sound propagation in the tank at ultrasonic frequencies. The big upcoming goal is to be able to test machine learning algorithms for source localization and environmental variability using ultrasonic tank measurements.
I am currently looking for two students to join my underwater acoustical measurement group. The opportunity to do experiments in a water tank at ultrasonic frequencies offers a solid foundation for students interested in studying ultrasound or other medical physics fields in graduate school. In addition, the experience with measurement protocols, programming the robotic arms, and analyzing the data with signal processing techniques provide a good foundation for many technical jobs.
- Acoustic Radiation of Circular Plates
- Develop analytical representations for the acoustic radiation of thin, circular plates (radiation efficiency, radiation modes, wavenumber spectrum)
- Perform high resolution measurements of the acoustic radiation of circular plates
- Measurement and Modeling of In-vacuo Damping of Structures
- Develop lossless boundary conditions for beams and plate
- Build up vacuum chamber for in-vacuo measurement of vibration decay
- Compare damping with theory (hysteretic vs radiation damping)
- Investigate relaxation constants for various metals as a function of temperature and frequency
- Detecting speech signals in noise
This work focuses on developing methods to detect low-level speech signals in the presence of noise and reproducing that speech.
- Measuring Acoustic Sound Power Using SLDV MeasurementsScanning Laser Doppler Vibrometer (SLDV) measurements provide vibration measurements of a structure in a noncontact manner. This data can be used to determine the sound radiated from the structure, and this project looks at trying to use the information to come up with an accurate estimate of the radiated sound power.
- Building an Atlas of Molecular Gas Kinematics From the ALMA Archive
Archival data from the Atacama Large Millimeter/submillimeter Array (ALMA) reveal molecular gas in many early-type galaxies (ETGs, including elliptical and S0 types). In many cases, the observations trace regular rotation about the galaxy center. However, relatively few of these data sets have been published, and there is little consistency between the published data products. We are uniformly measuring gas properties in a large sample of ETGs with ALMA carbon monoxide (CO) observations, which will then be compiled into an atlas of molecular gas kinematics in luminous galaxies. In addition to measuring and analyzing kinematic properties, this atlas will also help identify candidates for higher angular resolution ALMA imaging to measure the mass of the central supermassive black hole mass.
I am currently not looking for additional students to work on this project.
- Dust Properties From ALMA Observations
Cold dust found at the centers of many nearby galaxies emits thermal radiation. With typical temperatures of 10-30 K, the dust black body spectrum peaks in the far-IR range. In many cases, the Rayleigh-Jeans tail of the dust thermal emission is detectable at mm-wavelengths with the Atacama Large Millimeter/submillimeter Array (ALMA). Together with continuum measurements from the radio to the mid-IR, data points at ALMA wavelengths are important when measuring dust mass and temperature. We are measuring ALMA continuum flux densities (or upper limits) and building spectral energy distributions (SEDs) to separate out non-thermal contributions and model the SEDs as using a modified black body function.
I am currently not looking for additional students to work on this project.
- Monitoring AGN Variability Using West Mountain Observatory
Active galactic nuclei (AGN) are electromagnetic phenomenon arising from material accreting onto supermassive black holes (BHs). Certain types of AGN called blazars display high levels of variability over timescales of minutes to years. Blazars are thought to be AGN seen down the jet that launches from directly about the BH. Using a rich data set of several blazars taken with our own West Mountain Observatory spanning about a decade, we aim to better characterize both long timescale and intra-night variability. This project will use both differential (aperture) photometry and, when possible, difference imaging to build detailed light curves. We will also explore possible systematic effects that impact our final light curve error budgets and more fully capture the inherent uncertainties in aperture photometry.
I am currently looking for students to work on this project.
- Reverberation Mapping in Active Galactic Nuclei
Active galactic nuclei (AGN) manifest a range of phenomenon in X-ray to radio wavelengths, from active accretion of material into a thermally hot disk about the central supermassive black hole (BH) to ionization of clouds at light-day distances to massive jets of material that produce significant radio emission. In this project, we seek to better understand the connection between brightening and dimming of thermal energy from the accretion disk and the strength of emission lines from ionized gas clouds in what is called the broad line region (BLR). As the accretion disk light produces the light that ionizes the surrounding gas clouds, changes in accretion-disk luminosity reverberate throughout the region, resulting in a time delay between AGN and BLR light curves. In collaboration with researchers at the University of Wyoming, we will employ optical imaging and spectroscopy as well as near-IR spectroscopy to map the response of a variety of BLR emission lines to the driving continuum.
I am currently looking for additional students to work on this project.
- Supermassive Black Hole Mass Measurement
The improved sensitivity and larger baselines of the Atacama Large Millimeter/submillimeter Array (ALMA) now enable imaging of molecular gas deep within the centers of numerous nearby galaxies. In a small percentage of luminous elliptical galaxies, ALMA observations trace the motion of molecules like carbon monoxide (CO) well within the supermassive black hole's (BHs) sphere of influence, wherein the BH dominates the overall gravitational potential. Using detailed gas-dynamical models, we are able to measure the BH mass and determine its overall error budget.
I am currently looking for additional students to work on this project.
- Astronomy Education
I'm currently working on a project to develop a High School research competition based on pulsating variable stars. This is funded by a NASA Rocky Mountain Space Grant Consortium Mini Grant. We will provide variable star data to a number of high school teams that will then analyze the data and provide a final report that will be judged.
- Impact of Cadence on Variable Classifcation by Machine Learning
This is a project to examine how little data is needed to determine an accurate period in the pulsations of a short period variable star. There are many large survey programs running, or soon to be running, that find new variable stars. Through machine learning they try to classify these objects. However, for short period variables the classifications and periods determined, are often found to be wrong.
We are also examining the impact of space velocity on the measurements, phase jumps in the pulsation curve, and measurement errors.
We do observational work with a group of 7 robotic/remote telescopes that range from 6" to 1.8-m to follow-up on these new variables and modeling work to show the limits.
This is a program that is currently very active and where student help is needed. There is more data in hand than can easily be processed and analyzed.
- Light Curve Generation for Transiting Planets, Eclipsing Binaries, and Pulsating Variables
We have developed a number of robotic telescope systems on the observation deck of the Eyring Science Center. These range from 6" and 24". Most of the systems are currently capable of working the entire night robotically. We observe transiting planets, eclipsing binary systems, pulsating variables, and other systems that change in brightness. In some cases we really want to process the data as soon as possible to get the data sent to programs like the NASA TESS transit finding program. With the amount of data generated we just need help in processing the data. If someone were to work on this program they would get experience over a wide range of objects.
Always looking for new research students on these projects.
- Period Changes in Medium Amplitude delta Scuti Variables
In general, researchers consider there to be two groups of delta Scuti variables; the High Amplitude delta Scuti (HADS) and the Low Amplitude delta Scuti (LADS). However, the in between realm is interesting. The Medium Amplitide delta Scuti stars seems to show a range of changes in both amplitude and period. This makes them a very interesting group to monitor.
We are now adding some computer modeling to try to better understand these changes.
This is a place where there is always need for additional help. We will have 6 robotic telescopes running on every clear night by the summer of 2022. That means a lot of data to process and light curves to be determined.
- Spectrophotometic Comparison of H-alpha and H-beta Index
Traditionally the H-beta index has been used as a reddening free index to measure the surface temperature of stars. Prof. Joner in the department has developed a new H-alpha index that has great promise. We are working together to spectrophotometrically compare the two systems and the application of the system to a number of different types of objects.
- Spectroscopic Survey of Northern Sky delta Scuti Variables
To understand the nature of the delta Scuti variables in the instability strip one needs as much information as possible about the stars. However, an examination of the catalog of delta Scuti variables shows a lack of basic information on many of the group. Of the 247 delta Scuti stars visible in the northern hemisphere we currently have spectra of 242 of them. These need to be reduced to provide estimates of some basic stellar properties like [Fe/H], radial velocity, rotational velocity, and perhaps information on any binary companions.
- Variable Star Search in Open Clusters
We are currently searching for new low amplitude variable stars in a large sample of open clusters. The clusters cover a wide range of ages and will provide a evolutionary test of how the variable stars change with age. We are also looking for very small eclipses that might be the sign of a planet.
- Photometric Reverberation MappingTraditional reverberation mapping to estimate AGN black hole masses uses a combination of photometry and spectroscopy to determine the time lag between variations that occur at the accretion disk and then later in the broad line region. With such techniques, there is a need for a large amount of moderate to large telescope time in order to secure the spectroscopic data with an observing cadence suitable for a determination of the time lag. Photometric reverberation mapping uses a single epoch spectroscopic determination of the broad line region velocity and a time lag determination based on photometric observations that include predominantly continuum features or broad line components that can be seen to vary at a later time. This technique is still being tested but hold promise for the determination of black hole masses in the age of several large scale surveys.
- Low surface brightness Universe
An important change has occurred in our visualization of faint structures in the cosmic space during the past decade: deep optical surveys have become important observational tools for probing the low surface brightness Universe. Modest size telescopes with a large field of view, supported by observations on large telescopes, use special observational techniques to collect sufficient amount of light for distinguishing very faint details around galaxies. I provide multiple projects related to the low surface brightness Universe based on deep optical observations using the ARC 3.5m telescope, WMO, and other modest size telescopes. An REU student would participate in observations, reduce and analyze data, and develop basic computational skills. An important part of the project is a valuable contribution to a publication and/or conference proceeding.
- Orbits in the Outer Solar System
(No positions open until Fall 2023.) Beyond the orbit of Neptune lies a population of icy bodies whose orbits can reveal unique information about how our solar system formed. This region of the solar system is called the Kuiper Belt and these small icy bodies are called Kuiper Belt Objects (KBOs or sometimes Trans-Neptunian Objects or TNOs), though some are large enough to also qualify as "dwarf planets" like Pluto and Haumea. There are multiple projects available in my research group to study KBO satellites (e.g., Haumea's moons) and KBO orbits (e.g., the Haumea and other collisional families). There are a variety of projects available at a variety of levels and you'll be paid as Research Assistants. Please contact me for more information. The best time to contact me about available positions is about 1 month before the beginning of a semester.
- Studying the Architectures of Exoplanetary Systems
(No positions open until Fall 2023.) Like our Sun, other stars are known to host planetary systems. As we continued to discover many more exoplanetary systems, we learn about how these systems are put together. The "architecture" of these systems (are small planets on the inside or outside? how close are the planets to each other? etc.) gives us invaluable clues to the formation of planetary systems. I used state-of-the-art statistical and computational techniques to discovery new exoplanetary systems, study existing systems, and remove the biases on their properties from our limited observational methods. There are a variety of projects available at a variety of levels and you'll be paid as Research Assistants. Please contact me for more information. The best time to contact me about available positions is about 1 month before the beginning of a semester.
- Brown Dwarf Binary Systems - modeling
Looking at peculiarities in the spectra of known binary brown dwarfs. Trying to understand the large number of L/T transition binaries, and why the spectra of these objects change so quickly over a constant temperature range. We want to determine binary statistics with spectral type, and how many of the L/T objects are truly single objects. We want to understand which spectral features vary the most between a single brown dwarf and an unresolved binary system, so we can use these spectral features as a way to identify binaries from existing spectra. Eventually we will use high resolution photometry and psf fitting to identify marginally resolved and unresolved binaries.
- Education - Learn Astropy and create training videos
I would love to have a student work through several tutorials I have that teach astropy, learn it very well, and then create zoom videos and jupyter notebooks that future students can use to learn how to use astropy to do photometry and spectroscopy. They could even extend this beyond to creating notebooks and videos to reduce TESS data (or any data from the roof) and in the future notebooks that can reduce APO data.
- Spectrophotometry of brown dwarfs observed with ARC 3.5 meter
Use IDL to reduce spectra of brown dwarfs taken with the ARC 3.5 meter telescope.
- Transiting ExoplanetsTake data with the 16" telescope on the roof of the Eyring Science Center of stars that may have transiting planets. Reduce this data using IRAF and AstroimageJ software. Characterize the radius of the planet (if we see a transit) by fitting the transit light curve. Return results to the team so that we can either obtain further observations of a possible planet candidate or expire the target as spurious or an eclipsing binary star system.
- Variability in Brown DwarfsReduce Spitzer observations of 3 brown dwarfs taken sequentially in time to look for evidence of variability. If variability exists, the amplitude is very low. The evidence of variability would suggest that cloud features or holes in the clouds are not homogeneously distributed across the surface.
- Advanced Materials for Nuclear Energy
We are able to produce as thin films existing and novel materials for nuclear energy that cannot easily made at other universities.
- Advanced Mirror Coatings for Hubble's successorIn 1999 the IMAGE spacecraft was successfully launched and functioned for over 6 years studying the various plasma filled regions surrounding the earth (ionosphere to magnetosphere) in wavelengths from radio through EUV. We designed and coated mirrors for the Extreme Ultraviolet Imager (EUVI) instrument, which was one of about four observational components of the IMAGE Mission. IMAGE, which stands for Imager for Magnetopause to Aurora Global Exploration, was a NASA funded Medium Explorer (MIDEX) program) .
We are now working with NASA scientist and engineers in the process of designing, fabricating and testing novel mirror coatings for the next generation space observatory. The flag-ship mission that comes after the James Web Telescope and WFIRST.
- Atomic layer & chemical vapor infiltration of C nanotube forests.Atomic layer and chemical vapor infiltration of carbon nanotube forests with metals such as tungsten to make three-dimensional microstructures for MEMS applications. This work is closely aligned with that of Prof. Robert C. Davis and Richard R. Vanfleet.
- BYU's Entry into the University Rover ChallengeHelp prepare mars simulation rover for annual competition near Hanksville, UT June 1 http://urc.marssociety.org/home/about-urc Specifically help the science team design on-rover test for life.
- Heavily doped p-type zinc oxide for UV optoelectronic devicesZinc oxide- especially heavily doped p-type material. This is a promising material for UV optoelectronics applications including UV lasers, light emitting diodes, and visible light-blind detectors. It also has applications in piezoelectricity, spintronics, transparent electronics, and as a substrate for the growth of other materials.
- optical constants of metals, semiconductors & insulators
1. we use ellipsometer in Chemistry C387 BNSN
2. we measure Optical Constants in VUV in U161 with R. Steven Turley
- Ultra-cold Plasmas
We are making ultra-cold plasma by photo-ionizing laser-cooled calcium atoms in a Magneto-Optical Trap (MOT). The trap size is about 1 mm and it holds about 10 million calcium atoms at a temperature of 0.001 K above absolute zero. The ultracold plasma is formed when we shine in two laser pulses that ionize all of the atoms.
The plasma is "strongly coupled", meaning that the average "nearest-neighbor" Coulomb energy is orders of magnitude larger than the mean thermal energy of particles in the plasma. A strongly coupled plasma behaves in some ways more like a solid than a gas. One of our major research goals is to understand how strong coupling changes basic processes like recombination and collisional ionization.
We use calcium to create this plasma because the energy level scheme in Ca is favorable for laser cooling and trapping. The blue wavelengths for both Ca and Ca+ are easily generated with standard laser technology. So when plasma is created we can measure the ion temperature and plasma density in a straightforward manner.
Our newest two projects are using lasers to cool the ions in the plasma, and also generating a plasma with both Ca and Yb ions at the same time. This last project will allow us to study the approach to thermal equilibrium in a two-temperature and two-mass system.
- Computing electron behavior in high-intensity laser interactions
When high-intensity lasers interact with materials, they rip electrons from atoms and pull them around at nearly the speed of light. We study electrons under these extreme conditions using MATLAB coding.
- Measuring Nuclear Decay Rates
- Single photon radiation from relativistic electronsWe are building an experiment to measure the radiation produced by an accelerated electron with a large quantum-mechanical wave packet. This experiment uses extremely high intensity lasers along with single-photon detectors to study the behavior of matter at the most fundamental level.
- Undergraduate research in string theory
Scott Glasgow (in the math department), is looking for talented undergraduate physics students interested in studying string theory. Dr. Ware will server as a co-advisor and help students fulfill the of writing a senior thesis in the department of Physics and Astronomy.
- General Group Research: Lensless imaging to study nanometer-scale material dynamics
We have positions opened for post docs, undergraduate, graduate students in the Physics and Astronomy Department. We are developing lensless or coherent diffraction imaging to study materials dynamics. We use coherent light sources (x-ray, XUV, and optical), Fourier Optics, and computer algorithms to produce nanometer scale images of materials lens-lessly.
Post doctoral, graduate and undergraduate student position projects available:
- Imaging atomic strain in structural materials
- Studying magnetic materials with tabletop extreme ultraviolet sources
- Single shot imaging of materials in extreme conditions
- 3D, lensless nanometer scale x-ray imaging via applied mathematics and data science
- Development of quantum x-ray imaging
For more information, contact Dr. Sandberg at email@example.com, 801-422-1497 or N261 ESC
- Imaging atomic strain in structural materials
We are studying metals at the nanometer scale to understand how and where structural materials fail. Using a lensless x-ray imaging technique known as Bragg coherent diffraction imaging, we are imaging the strain in metal grains under tension, compression, or high heat environments. This technique can currently provide 3D strain imaging at few nanometer resolution. Under support from the United States Department of Energy's Basic Energy Sciences Program, we are pushing this technique towards atomic resolution and in multiple grains.
- Single shot imaging of materials in extreme conditions
We use single, ultrafast x-ray pulses from an x-ray free electron laser to image materials while they are being shocked with high power laser systems. This research has applications to inertial confinement fusion energy applications. It is funded by the Department of Energy through SLAC National Accelerator Laboratory.
- Magnetic structures from neutron diffraction
We are exploring the use of symmetry principles to simplify the discovery and characterization of novel magnetic structures in solid-state materials. This work involves experimental, theoretical and computational aspects.
- Structural phase transitions
We are currently collaborating with Professor Harold Stokes to develop group-theoretical tools for computing and visualizing structural distortions in crystalline materials.
Student researchers have the opportunity to apply these state-of-the-art tools to solve materials physics problems in advanced materials like superconductors, piezoelectrics and magnetoresistors.
- X-ray scattering from embedded nanostructuresI am currently applying state-of-the-art x-ray and neutron scattering techniques to study the local and intermediate-range structure of solid-state materials. Systems of interest include the fast-ion conductors, ferroelectric relaxors, and colossal magnetoresistive manganites, where nanoscale structural features can be manipulated to determine the macroscopic physical properties.
- Magnetic imaging
We use Magnetic Force Microscopy (MFM) to image magnetic domains in ferrmagnetic thin films. The domain pattern may vary from a stripe maze pattern to a bubble pattern depending on the magnetic history. We study in particular the effect of the magnitude of the previously applied field on the domain pattern at remanence, when the field is brought back to zero.
- Magnetic properties in nanomaterialsWe study magnetic properties in matter at the nanoscopic scale. Tools we use include magnetometry techniques (VSM, EHE, SMOKE), magnetic microscopy (MFM) and synchrotron techniques (XMCD, XMRS, magnetic speckles...). Types of systems we study vary from thin films (ferromagnetic, exchange bias), superparamagnetic nanoparticles, magnetically dopped materials with interesting electronic and optical properties...
We measure the magnetic response of materials to an applied magnetic field, using various types of magnetometry, including Vibrating Sample Magnetometry (VSM), Extraordinary Hall Effect (EHE) and Surface Magneto-optical Kerr Effect (SMOKE)
- X-ray magnetic scattering
We use synchrotron x-ray radiation to carry x-ray resonant magnetic scattering (XRMS) experiment at synchrotron facilities, such as NSLS, ALS APS, SLAC... The XRMS signal provides with information on the nanoscale magnetic correlations existing in the material under certain conditions of magnetic field and temperature.
- 2D metal-halide perovskites for solar applications
"2D hybrid organic-inorganic metal halide perovskites" are a recently discovered class of semiconductors being studied in the hopes of developing highly efficient, low-cost, stable solar cells. Metal and halogen (group VII) atoms bind together in 2D layers, which are then stacked together via organic linker molecules. We are studying these interesting and important materials through optical absorption, electric field-modulated absorption, photoluminescence (fluorescence), time-dependent photoluminescence on nanosecond time scales, and dielectric spectroscopies. This allows us to determine important properties of the electrons inside these materials, to make better photovoltaic materials.
- Nanoparticles as temperature sensorsWe're working with a mechanical engineering professor (Troy Munro) to use semiconductor nanoparticles as temperature sensors. The wavelengths of light present in the nanoparticles' photoluminescence (aka fluorescence), and the time it takes for the luminescence to be emitted after the electrons have been excited both depend on the temperature. By characterizing the nanoparticles’ photoluminescence spectrum in both wavelength and time as a function of temperature, we hope to be able to use the nanoparticles as non-invasive temperature sensors in e.g. medical applications. For example, one could use the optical emission from nanoparticles injected into tissue to monitor temperatures as focused ultrasound is used to heat up and destroy tumors.
- Biological SeparationsThis work is focused on capture of cells and molecules using precision filters for the detection of cancer and antibiotic resistant bacteria.
- Biomolecular ElectronicsCarbon nanotubes, proteins and nucleic acids are candidate structures for self assembled molecular electronic materials for sensing and the internet of things. .
- Nanostructures and MicromachinesWe are developing three dimensional microscale structures from vertically grown nanotube forests. We are using films of carbon atoms, few atoms thick, to make ultrastrong materials.
- ProSPr - Protein Structure Prediction
A cross divisional team of physicists, computer scientists, biologists and chemists implements a novel protein structure prediction pipeline to solve one of the oldest challenges in computational biophysics: The Protein Folding Problem.
We will apply our pipeline to a global community wide blind test in 2020 called CASP14.
The work entails:
- training of convolutional neural networks
- design of simulation algorithms
- high performance super computer usage
- chemical and biological evaluation of results
- Radical SAM Engineering
Together with the Chemistry department at BYU, we are developing algorithms that aid the systematic design of novel enzymes.
These enzymes can be applied to a variety of use cases, such as fertilizer production, detergent production, or drug production.
- Atomic and magnetic structure investigations of quantum materials and technologically relevant materials
One of the first steps toward understanding any given material of interest (a new superconductor, an unusual magnetic material, an energy-related compound, etc) is determining its atomic and magnetic structure. We utilize beams of x-rays, neutrons, and muons at large-scale accelerator facilities to do just that. Our primary experimental techniques include atomic and magnetic pair distribution function (PDF) analysis, conventional x-ray and neutron scattering, and muon spin relaxation/rotation. A few times a year, we visit these types of facilities to collect data, and then we come back home to analyze and make sense of it all. Through this process, we hope to shed light on the origin of the material's properties by gaining a detailed understanding of the local and average atomic and magnetic structure. If you are interested, please reach out and we can discuss if a spot is available!
- Developing open source, python-based software for investigating atomic and magnetic structure
Data are only useful if we can understand them, and to understand them, we often need specialized tools. We are currently developing open source, python-based software tools to analyze experimental data collected from condensed matter experiments using x-ray, neutron, and muon beams. The software will maximize research effectiveness and enable new methods of analysis not only for our own research group, but also for the wider community of condensed matter physicists using similar types of experimental methods. If you are interested, please reach out and we can discuss if a spot is available!
- Investigating the structure of molten salts for alternative nuclear reactor designs
Molten salt reactors (MSRs) are a promising nuclear reactor design concept in which molten ionic salts function as the coolant and/or fuel source in the reactor. MSRs have many potential advantages over standard designs in commercial use today, including greatly enhanced safety/security and the ability to produce critical medical radioisotopes in addition to vast amounts of carbon-free electricity. To make MSRs a reality, it is necessary to understand and predict the behavior of the salts in operating conditions. Gaining a detailed knowledge of the local structure of the molten salts on the atomic scale is an essential step in this direction, since the local interactions between constituent atoms determine the macroscopic properties. In this project, we use cutting-edge neutron and x-ray total scattering and computational modeling techniques to establish the structure of relevant molten salts. If you are interested, please reach out and we can discuss if a spot is available!
- Machine Learning for Discovering New Materials
We are developing mathematics, algorithms, and software to discover the new materials that will define the next age of human civilization. Stone, Bronze, Iron, Steel, Silcon,...what material will define the next age? We are building a "virtual laboratory" so that artificially intelligent computers can discover the materials of tomorrow. Students with no prior experience are welcome.
- Materials simulation: Algorithm development and applications
Our group focuses on computer simulation of materials for the purpose of discovering new materials that have exceptional properties. There are two aspects of the research: 1) developing new approaches, algorithms, and mathematics that can be used in simulation, and 2) applying existing and new approaches to find new materials. Both aspects are challenging and require participating students to move far outside their comfort zone and learn things that won't be part of a regular physics or CS degree. Students with no prior experience are welcome.
- Computational methods for exploring high-dimensional parameter spacesModern computers enable large models of complex processes. These models often involve a large number of parameters and a relevant question is often how the model's behavior depends on the parameter values. Because the parameter space is high-dimensional, a brute force search will never be possible for models with more than a few parameters. We are developing novel computational methods for efficiently and intelligently exploring these high-dimensional parameter spaces. This project uses theoretical insights based on information theory and applies sophisticated techniques in computational differential geometry, automatic differentiation, and topology with high-performance computing. Our goal is to improve algorithms for fitting models to data, performing statistical sampling, and classifying regimes of distinct model behaviors.
- Information theory of multi-parameter modelsMathematical modeling is a central component of nearly all scientific inquiry. Parsimonious representations of physical systems, together with robust methods for interacting with them, is one of the primary engines of scientific progress. Much of the work in our group involves developing new methods, both theoretical and computational, for improving the predictive performance of complex multi-parameter models. Our research explores the mathematical structures that enable predictive modeling. We use information theory, statistics, differential geometry, and topology, as well as relevant physical laws from a variety of fields to better understand data, models, and the relationship between reductionism and emergence.
- Machine Learning on Acoustic data setsSound is one of the fundamental ways we observe our environment. In collaboration with acousticians at BYU and Blue Ridge Research and Consulting, we use machine learning techniques to predict ambient sound levels from environmental parameters (such as the distance to a road or local population densities). Our models will ultimately be useful for a variety of applications including military mission planning, public health, urban development, and ecology. We also use machine learning to predict crowd dynamics from acoustic data sets. Can analysis of acoustic data collected at sporting events be used to infer the shifting mood of a diverse crowd? If so, can acoustic monitoring be used to improve law enforcement responses to crowds before they become violent?
- Modeling Complex Biological SystemsBiological systems are rich in the types of behavior they can exhibit. This is enabled through a complex web of components. In the case of development biology, the relevant components are networks of chemical reactions while in neuroscience, it is a combination of electrical and biochemical signals. In both cases, the complex system responds to external stimuli and performs calculations to formulate an appropriate response. The complexity of these systems is overwhelming. New theoretical and computational tools are needed to organize our knowledge of these processes and compress it into a coherent theory. Our research tries to develop minimal models from these "parts lists" in order to summarize and organize our understanding of biological and neurological processes.
- Modeling Complex Energy SystemsModels of energy systems involve a large number of heterogeneous components connected in complex networks. Detailed models of these systems constructed from physical first principles are similarly complicated and involve a large number of unknown parameters. In spite of their detail and complexity, models often have limited predictive capability because it is difficult to identify the model, i.e., find accurate values for all of the parameters. Our goals it develop models that are sufficiently complex to capture the rich behavior of real power systems, but simple enough so that all the parameters can be learned from data.
- Superconducting Materials for next generation particle acceleratorsParticle accelerators are are foundational technology in modern science, enabling fundamental research in facilities such as the Large Hadron Collider (LHC), as well as providing some of our best sources of coherent x-rays for probing nanoscale structure in materials. The same physical principles underly other technologies such as electron microscopy. Superconducting resonance cavities are the enabling technology that allows subatomic particles to be accelerated to near light speeds. In collaboration with researchers at the Center for Bright Beams (cbb.cornell.edu), we are working to better understand materials properties of superconductors in order to lay the foundation for the next generation of particle accelerators. Our work uses high performance computing to solve equations that describe how specific materials respond to applied magnetic fields, accounting for details such as surface roughness, grain boundaries, and material inhomogeneities.
- Atomic and near atomic scale studies of materials by Transmission Electron Microscopy.We attempt to determine in as direct observational way as possible the way materials actually chose to arrange themselves. This is often in contrast to how man has attempted to arrange them. We are interested in the structural arrangement of atoms as well as the elemental and bonding arrangements of atoms within nanometer scale features of the sample. An undergraduate would learn to prepare samples for TEM analysis as well as learn the basics of TEM operation to analyze their samples in the TEM.
- Science Education Research
We work on science education research questions that investigate the impact our methods courses have on the beliefs and practices of future science teachers. Currently we are studying science teacher beliefs, the impacts of mentored undergraduate research opportunities, and connections between the science and engineering practices in relation to preservice teacher pedagogical content knowledge.
- Charged black holes in higher dimensionsThe Kerr-Newman black hole is the charged, rotating black hole in 4 dimensions. The 5 dimensional version is not known. Using numerical techniques we are trying to construct it.
- General relativisitic equilibrium models of magnetars
We would like to construct axisymmetric, general relativistic, equilibrium models of neutron stars with ultra-strong magnetic fields (magnetars). Physics inputs include poloidal and toroidal magnetic fields, realistic equations of state for the matter, differential rotation and convective motions.
- General relativistic compact binaries
We are interested in all aspects of compact object binary mergers (black holes and neutron stars). This includes predicting the gravitational and electromagnetic radiation from such systems as well as constraining the properties of dense matter in such mergers.
This work involves large scale computation and necessitates developing numerical algorithms for solving the nonlinear partial differential equations of general relativity and radiation magnetohydrodynamics.
- Relativistic magnetohydrodynamics
Past, present and future projects include
- Establishing the characteristic structure of the equations of general relativistic magnetohydrodynamics (GRMHD) in different formulations.
- Studying the instabilities and waves associated with this system in different geometries.
- Developing constraint preserving boundary conditions for GRMHD.
- Developing simulations in 1D, 2D and 3D for flat space MHD.
- General RelativityGeneral relativity describes gravitational phenomena geometrically as curvature in spacetime: Matter curves space, and the spacetime curvature affects matter. General relativity predicts that accelerating objects can emit gravitational radiation. While this radiation is typically extremely weak, some astrophysical systems, such as colliding black holes or neutron stars, may emit gravitational waves that we can detect on Earth. Large, kilometer scale laser interferometers, such as LIGO, are being constructed to study gravitational wave signals from these events. Unfortunately, we currently know very little about the radiation expected from the regions of spacetime with the strongest (nonlinear) gravitational fields. I study computational methods for solving the Einstein equations for these strong-field gravitational wave sources. Various projects are available to investigate black hole spacetimes, black hole formation, and properties of the Einstein equations. All projects require writing, testing, and running computer codes to investigate nonlinear gravitational phenomena.
- Numerical methodsResearch with the Einstein equations and RFD requires sophisticated numerical methods and techniques (as well as cheats and tricks). Some techniques include adaptive mesh refinement (AMR), parallel computing, high-resolution shock-capturing methods for fluid equations. Some systems, such as moving black holes, may naturally be solved in multiple reference frames simultaneously. I am investigating the use of overlapping computational grids for these problems. One particular interest is combining modern fluid methods with overlapping grids.
- Relativistic fluid dynamics (RFD)Neutron star collapse, supernovae, gamma-ray sources, etc., are some of the exciting topics in relativistic astrophysics, and the perfect fluid is the fundamental model for all of these. I study relativistic perfect fluids near black holes using computational methods. In particular, Eric Hirschmann, Steven Millward and I at BYU are studying a magnetized fluid around a black hole with computational Magneto-Hydrodynamics (MHD). Various computational projects are available in RFD and MHD, which require writing, testing and running computer programs to model relativistic fluids.
- Quantum Dynamics
Study of time evolution of quantum systems, in particular simple quantum optical systems. We are also interested in quantum clocks and their precision. The project welcomes new students. Motivation is more important than previous experience, although knowledge of linear algebra, Mathematica, and modern physics will definitely help.
- Quantum Information
Studies in entanglement, uncertainties, noise, and measurement. Applications include teleportation, cloning, and quantum algorithms, The project welcomes new students. Motivation is more important than previous experience, although knowledge of linear algebra, Mathematica, and modern physics will definitely help.
Building models of how the Universe came to have more matter than antimatter.
- Cosmological Phase Transitions and Defects
Understand the creation and evolution of domain wall, cosmic strings, monopoles, and skyrmions in the early universe.
- Dark Matter
Developing models for the cosmological dark matter and determining their experimental signatures.
- Understanding Nontopological Solitons
Nontopological solitons are interesting objects that are possible macroscopic dark matter candidates. Making precise predictions of experimental signals depends on improving our theoretical understanding of these objects.