| Faculty Name | Type | Research Area | Research Title | Research/Project Short Description | Desired Skills | Type of Position | Contact Info | Available to ASU Online Students |
|---|---|---|---|---|---|---|---|---|
| Philip Mauskopf | Experimental | Nanoscience and Materials Physics | Superconducting quantum devices | Work on a variety of superconducting devices including high frequency qubits, single photon detectors, microwave resonators and kinetic inductance detectors. | Circuit design and simulation, 3D electromagnetic design and simulation, solidworks or othe CAD, python, VHDL | Credit, Paid, Volunteer | Philip.Mauskopf@asu.edu | |
| Ricardo Alarcon | Experimental | Cosmology, Particle, and Astrophysics | Development of diamond-based detectors for applications in nuclear and particle physics. | The project consists of instrumenting and testing diamond-based detectors using radioactive sources. | PHY-333 | Credit, Paid, Volunteer | ricardo.alarcon@asu.edu | |
| K.T. Tsen | Experimental | Biological and Soft Matter Physics | Selective photonic disinfection of bacteria and other pathogens in wound by using femtosecond laser irradiation | In this translational research project, we will employ femtosecond lasers to kill the bacteria as well as other pathogens in a wound while leaving the tissue unharmed. | Basic knowledge on optics, lasers and Arduino for programming two dimensional scanning system with the motor drives. | Volunteer | tsen@asu.edu | |
| Antia Botana | Theoretical | Nanoscience and Materials Physics | Electronic structure of quantum materials | Projects for undergraduate students related to the theory of quantum materials are available. The primary goal consists on the application of computational methods to understand how electrons behave in these systems. The focus is on two basic phenomena: magnetism and superconductivity. | Quantum mechanics, programming skills. | Credit | Antia.Botana@asu.edu | |
| Simon Foreman | Theoretical | Cosmology, Particle, and Astrophysics | 21cm Cosmology and Large-Scale Structure | What are the fundamental laws that determine the birth, evolution, and contents of the universe? The field of “21cm cosmology” aims to help answer this question, by measuring faint radiation from distant clouds of hydrogen gas, relating the distribution of these clouds to the underlying “large-scale structure” of the universe, and using the statistical properties of this structure to learn about the universe and fundamental physics. Projects are available to investigate specific topics in 21cm cosmology, likely involving a mixture of theoretical and computational work. The precise topic is to be determined, but possibilities include: forecasting the sensitivity of the upcoming CHORD telescope in measuring the the cosmic large-scale structure; comparing the theoretical expectation for telescope noise to detailed simulations; developing mathematical techniques to account for filtering of foreground signals in theoretical predictions; implementing new techniques for simulating large-scale clustering; and contributing to data analysis infrastructure for the currently-operating CHIME telescope (https://chime-experiment.ca/en). |
Familiarity with Fourier transforms, basic statistics, and scientific computing in Python or a similar language. Familarity with concepts in astronomy or cosmology is welcome, but not required. | Credit, Paid | simon.foreman@asu.edu | No |
| Steve Pressé | Experimental | Biological and Soft Matter Physics | From bacterial hydrodynamics to bacterial predator-prey dynamics |
We have previously shown that bacterial predators, Bdellovibrio bacteriovorus, hunt their prey, E. coli, by leveraging passive hydrodynamic forces rather than actively seeking out their prey through, say, chemical signaling. In particular, hydrodynamic forces can become manifest when predators move near surfaces forcing them to co-localize with prey. Here we propose to take this idea a step further and investigate the predator's hunting efficiency when it is part of a population of predator and prey within the microbiome of a living organism (in this case, the worm c. elegans). In living organisms, questions as to how predators hunt abound. For example we hope to address these questions: 1) how do we go about quantifying the kinetics of predation when all of the action takes place within the gut of an organism?; 2) how does the effect of physical confinement within the gut of c. elegans impact the predator's predation efficiency?; 3) what kind of (statistical mechanical) theories are required in order to describe predation dynamics when large fluctuations in levels of predator and prey are present within a living organism's gut?; 4) can we ever use this knowledge to engineer the predator as a living antibiotic? | Prior experience in experimental biophysics (bacterial culturing and basic microscopy) desired but not required. | Credit, Paid, Volunteer | spresse@asu.edu | No |
| Steve Pressé | Theoretical | Biological and Soft Matter Physics, Nanoscience and Materials Physics | Statistical mechanics meets AI/ML | We live in an age where data abound and there is an explosion of new tools (AI/ML) inspiring us to think quantitatively about these data. Yet these tools, often inspired by developments in Mathematics and CS, are often black boxes and not suitable for applications within the Natural Sciences. Our goal is to advance computational tool, appropriate for the Natural Sciences, critical in gathering insights on life's processes observed through advanced microscopy techniques or astronomical events observed using modern telescopes. In particular, we develop tools of AI and machine learning, many grounded in computational statistics, to glean insights about our physical universe otherwise unavailable using traditional analysis techniques. For example, of particular interest, is unraveling the collective dynamics of molecular machines (i.e., transcription factors) operating cohesively at gene loci to read DNA's instructions. Unraveling these dynamics is especially complex as most events of interest occur on length scales far smaller than the light we use to observe them. Thus from a smattering of photons in space, of wavelength hundreds of times larger than the objects we care to characterize, must be derived insight on life's fundamental processes. Students working on this project will quickly become experts in state-of-the-art tools of AI and machine learning. | Some programming experience is required. Courses taken in machine learning or numerical methods is preferred though not required. |
Credit, Paid, Volunteer | spresse@asu.edu | Yes |
| Quan Qing | Experimental | Biological and Soft Matter Physics, Nanoscience and Materials Physics | Integration of Raman spectrometer with quantum conductance measurement for multi-parameter single-molecule identification | How do charges transport through a single molecule sandwiched between two metal electrodes? It has long been shown that the conductance strongly depends on the molecule’s structure, and the interface between the molecule and the metal surface. But such measurements have proved to be very delicate and conflicting results have been all over the map. For example, DNA molecules have been shown to be insulators, conductors as well as superconductors in different experiments. Indeed, with the rapidly expanding studies of conductivity of biomolecules, where hydrogen bonds, pi-pi stacking, hydrophobic interactions, and allosteric structures are actively involved, more and more results have been shown to fall outside the realm of conventional quantum tunneling theories. New developments at the intersect of physics and biology reveal a wide open field for exploration, promising new paradigms of how charges can transport in a 3D complex molecular systems, as well as label-free biosensors based on the dynamic conductance measurements. However, all studies have been significantly limited by the techniques for constructing the metal-molecule-metal structure, mostly based on scanning tunneling microscope, mechanical break junctions, or brute-force top-down lithography. All measurements so far rely on the random diffusion and binding of molecules, and statistical analysis of hundreds to thousands of repetitive operations. It is extremely challenging to control the position and states of the molecule bridge between electrodes, and the operation typically require strict environment control and with high technical skills. Is it possible to construct a platform for highly reproducible measurements that brings together single molecule delivery, conductivity measurements and molecule structure characterization, such that a broad range of biomolecules can be easily investigated under physiological conditions? The goal of this project is to develop a microchip-based universal platform that integrates nanopore, tunneling junction and Raman spectroscopy for multi-parameter investigation of different biomolecules in physiological conditions during enzymatic activities. The student will help the development of a customized Raman spectrometer and integrate with a nanoelectropore system to perform preliminary experiments on correlated Raman and quantum conductivity measurements on model molecules ranging from simple small molecules such as 4-mercaptobenzoic acid, to double-strand DNA molecules, and even larger proteins that can form molecule bridge through antibody-antigen interactions. |
3D modeling, optics, electronics, programming | Volunteer | quan.qing@asu.edu | No |
| Robert Kaindl | Experimental | Nanoscience and Materials Physics | Broadband Ultrafast Probes of Quantum Materials | Our research explores fundamental and applied physical phenomena in correlated and nanoscale quantum materials using advanced ultrafast tools. Femtosecond light pulses provide unique opportunities to perturbatively resolve fast dynamics and interactions in these materials, and they can drive materials into new transient or metastable regimes via intense excitation. We are developing a new laboratory for tailored driving and detection of quantum and collective excitations using broadband terahertz, mid-IR, and visible light pulses as well as probing of electronic structure dynamics via time- and angle-resolved photoelectron spectroscopy (trARPES). This effort provides many project opportunities, spanning initially the range from literature research and simulations, fabrication and characterization of 2D and correlated samples, to the design and development of nonlinear optical setups in the terahertz, mid-IR, and extreme-UV regimes. Moreover, our research is closely aligned with the ASU CXFEL program making possible laser-science projects connected to the femtosecond X-ray source and pump-probe setup that is currently under commissioning. At a later stage, the student can also get involved with the first time-resolved THz/mid-IR and ARPES experiments in our group to investigate the dynamics of quasi-particles and order parameters as well the properties of light-induced phases in two-dimensional, topological, and superconducting materials. |
Interest in condensed matter physics, optics/lasers, programming, and data analysis. Prior experience in any of these areas is useful but not required. | kaindl@asu.edu | No | |
| Jingyue Liu | Experimental | Nanoscience and Materials Physics | Electrochemical Conversion of Molecules for Sustainable Energy | Design and develop nanoscale architectures for electrochemical conversion of molecules with a focus on producing clean energy; understand the fundamental processes of fabricating functional structures at the single-atom limit; and correlate synthesis-structure-performance relationships. | Strong desire to learn experimental skills in materials synthesis; experiences in handling chemicals and routine lab skills in a wet chemistry lab. | Volunteer | jliu152@asu.edu | No |
| Mouzhe Xie | Experimental | Biological and Soft Matter Physics, Nanoscience and Materials Physics | Experimental Quantum BioSensing (EQuBS) lab -- quantum metrology and high precision measurement using nitrogen-vacancy defects in diamond crystal | As a new lab, we always have cross-disciplinary research projects available to postdocs, graduates, and undergrads! Please refer to https://sites.google.com/view/equbs-lab/opportunities for the latest update. Please email Prof. Mouzhe Xie (mouzhe.xie@asu.edu) for inquiries and to discuss details. | mouzhe.xie@asu.edu | No | ||
| Rogier Windhorst | Experimental | Cosmology, Particle, and Astrophysics | Cosmology and Astrophysics Research with the Hubble and James Webb Space Telescopes | The student will study current hot topics in cosmology, the epoch of cosmic reionization, star-formation in a cosmological context, galaxy formation and evolution, gravitational lensing via galaxy clusters and cluster caustic transits, and the growth of super-massive black holes in the centers of galaxies. The student will will get hands-on experience and learn how to reduce and analyze Hubble and JWST data. We meet with the whole research group once a week (currently Fr. 1:30-3:30 pm in GWC-505) to assign projects, train students, monitor progress, and discuss specific research aspects, skills, and progress on papers. | Essential Skills: Recommended is some experience with Mac OS and/or UNIX, and image processing, although not essential for UGs Animation: Beginner C: Beginner or better. Python is preferred CAD: None Database: Beginner or better GPS: None/No Preference HTML: Beginner or better Image Processing: Beginner or better Java: Beginner or better Linux: Beginner or better Macs: Beginner or better Statistics: Beginner or better Additional computer knowledge, programs, languages: Java, IDL, IRAF/STSDAS, and/or Python experience will come in handy, or can be learned as you go. |
rogier.windhorst@gmail.com | No | |
| Jose Menendez | Theoretical | Nanoscience and Materials Physics | Semiconductor Equations using Polylogarithms | The purpose of this research is to develop an approach to the solution of the coupled semiconductor equations that transitions smoothly from the Boltzmann to the Fermi Dirac limit and is capable of simulating the operation of semiconductor devices at room and cryogenic temperatures. The approach must be compatible with current algorithms for the numerical solution of the equations. | A background in solid-state physics and programming can speed up the research, but is not required. The interested party can find a brief introduction to polylogs in semiconductor physics in M. D. Ulrich, W. F. Seng and P. A. Barnes, Journal of Computational Electronics 1, 431 (2002). |
Volunteer | jose.menendez@asu.edu | No |