Project Grant 2512333
- This $450,000 project grant from the National Science Foundation (NSF) Division of Physics will fund the development of machine learning-augmented density functional theory (DFT) tools to enable faster and more accurate quantum simulations of warm dense plasmas. Under the Mathematical and Physical Sciences program (CFDA 47.049), the University of Rochester will receive funding from August 15, 2022 to July 31, 2025. The project aims to advance finite-temperature exchange-correlation functionals...
- This $728,539 federal Project Grant award to Emory University, funded by the National Science Foundation's (NSF) Division of Physics, supports research to "bridge the gap between particle-based and continuum hydrodynamic descriptions of dusty plasma" using artificial intelligence (AI) and machine learning (ML) techniques. The project aims to derive new physical and statistical laws governing the complex motion of dust particles in plasma, which are common throughout the universe. The...
- The National Science Foundation awarded Columbia University a $419,433 project grant under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports research to advance data-driven modeling approaches for magnetized plasmas through three key efforts. First, several emerging data decomposition methods will be applied to numerical simulations of magnetized plasmas for the first time and assessed for these systems. Second, data-driven nonlinear models based on these...
- This $285,606 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a computational study of energy distribution and dissipation in weakly collisional plasmas. The project will develop reduced plasma physics models and integrate them into an open-source simulation code applicable to astrophysics, space weather, and fusion energy research. Key project activities include leveraging novel machine...
- The National Science Foundation (NSF) awarded a $242,547 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to support a collaborative research project led by New York University (NYU). The goal of the project is to study how the three-dimensional structure of magnetic fields impacts the interactions between energetic particles and plasma waves, which is a fundamental process underlying various plasma phenomena. The research team, which also includes...
- This National Science Foundation (NSF) Project Grant award, under the Mathematical and Physical Sciences (CFDA 47.049) program, provides $359,759 to the University of Florida to develop a novel framework that leverages machine learning techniques to predict the behavior of plasma sheaths. Plasma sheaths are critical interfaces between plasma and materials, with applications in space propulsion, materials processing, and nuclear fusion. The project aims to create a computationally efficient yet...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports a collaborative research project between Columbia University, West Virginia University, and New York University. The goal is to study how modulations in the background magnetic fields can impact the interactions between energetic particles and plasma waves, which is a fundamental process underlying phenomena across the plasma universe. The project will...
- This federal Project Grant award, with a total funding amount of $569,051, was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award supports a collaborative research project between the University of California, Los Angeles (UCLA) and the University of Utah to develop theoretical foundations for AI-assisted digital twins to integrate scientific data, physical models, and machine learning for complex...
- This Project Grant award, provided by the National Science Foundation (NSF) under its Mathematical and Physical Sciences program (CFDA 47.049), enables continued experimental exploration of eruptive plasma behavior in a laboratory setting. The $597,571 award, effective September 1, 2024 through August 31, 2027, supports research aimed at advancing the understanding of multi-scale phenomena in real plasmas. The project will focus on studying the observed X-ray generation in a magnetized,...
- The University of Nebraska was awarded a $480,000 project grant from the National Science Foundation Division of Physics under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year award will support research titled "HIGH FIDELITY FLUID-KINETIC HYBRID MODELING OF INTENSE, SHORT PULSE LASER PLASMA INTERACTIONS" from August 2021 through July 2024. The university will conduct research to advance understanding of major problems in plasma physics through developing...
This $600,000 Project Grant awarded on August 15, 2025 by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to develop new machine learning (ML) tools to reconstruct plasma dynamics in basic plasma science experiments. The project, awarded to the University of California, Los Angeles (UCLA), will leverage limited experimental measurements from the Large Plasma Device (LAPD) at UCLA, along with theoretical physics models, to reconstruct hard-to-measure aspects of plasma behavior. The goal is to provide a more complete understanding of plasma dynamics, which is critical for applications ranging from forecasting space weather to developing fusion energy systems. The project will also train the next generation of researchers at the intersection of physics, computation, and machine learning.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/14/25 |