Project Grant 2532734
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports theoretical and computational research to enhance the accuracy and efficiency of first-principles quantum mechanical simulations for understanding the electronic structure of materials. The $232,250 award to The Research Foundation for The State University of New York, operating as Stony Brook University, aims to develop innovative approximations to the exact...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program, CFDA 47.049, supports theoretical and computational research and education to enhance the accuracy and efficiency of first-principles quantum mechanical simulations for studying the electronic structure of materials. The $220,991 award aims to develop innovative machine learning-based approximations to the exact functional within density functional theory, which is critical for...
- This $318,775 National Science Foundation project grant supports theoretical and computational research and education activities at Lehigh University from May 2022 through April 2025. The award is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to advance scientific knowledge and understanding in these fields. Specifically, the principal investigator and their team will develop advanced numerical techniques to model the properties of two-dimensional quantum...
- This $120,000 Project Grant award from the National Science Foundation's (CFDA 47.049) Mathematical and Physical Sciences program supports research to investigate the mathematical foundations of new phases of matter in condensed matter physics, such as stacked and twisted two-dimensional semiconductors and graphene. The project aims to develop new tools to analyze these materials in the semiclassical regime, where quantum and classical physics meet, in order to support the design of future...
- This $296,555 Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support the development of reduced basis enhancements for neural networks and their application to quantum materials simulation. Specifically, the University of Massachusetts Dartmouth will combine traditional reduced basis methods with deep learning techniques to build an analysis-driven computational emulator for parameterized partial differential equations....
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research, education, and outreach activities focused on understanding materials properties driven by the coupling between electrons and lattice vibrations in solids. The $238,000 award, effective from March 1, 2025 to February 28, 2030, will fund advanced quantum-mechanical computational approaches and large-scale simulation techniques to reveal the role of...
- This CAREER award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) supports computational and theoretical research at New York University (NYU) aimed at efficiently sampling complex energy landscapes to determine the number of possible material configurations and their probabilities. The $280,000 award, with a project period from March 1, 2025 to February 28, 2030, will enable the development of new methods for enumerating...
- The National Science Foundation (NSF) awarded a $160,000 Project Grant through its Mathematical and Physical Sciences (CFDA 47.049) program to the Regents of the University of Minnesota to support research on the mathematical modeling of "moiré materials" - novel 2D materials formed by stacking 2D layers with a relative twist. The project aims to develop advanced mathematical methods for predicting the emergent strongly correlated electronic phases in these materials, which hold...
- The National Science Foundation (NSF) Division of Materials Research awarded a $346,461 project grant to North Carolina State University (NC State) under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports research and education aimed at advancing simulation and computational approaches for studying the atomic and electronic structures of materials. Key focus areas include: Expanding the ability of quantum Monte Carlo (QMC) many-body wave function methods to describe...
- This federal Project Grant award of $494,622 from the National Science Foundation's (CFDA 47.049) Mathematical and Physical Sciences program supports collaborative research into the investigation of correlated many-body physics in multilayer semiconducting moiré superlattices. The project, led by the Regents of the University of California at Riverside, aims to explore new quantum states of matter that could enable future technology revolutions in areas like quantum electronics and...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program, with CFDA number 47.049, provides $247,996 to Hofstra University from Oct 1, 2025 to Sep 30, 2027. The award aims to develop more accurate, predictive tools to model two-dimensional moiré materials using machine learning techniques and advanced quantum simulation methods. The goal is to discover new electronic phases of matter, characterize their properties, and generate benchmark data to support future research in this emerging area. In addition to advancing materials science, the project will provide research opportunities for undergraduate students and introduce them to computational research skills through outreach events and use of Hofstra's new high-performance computing cluster.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $248.0k | 7/31/25 |