Project Grant 2532771
- This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) will provide $277,686 to the Regents of the University of Minnesota to develop advanced computational modeling and machine learning workflows for exploring the mechanical and electronic properties of 2D quantum materials. The project aims to enable rapid, automated, high-fidelity simulations of these materials, which are critical for advancing emerging...
- 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 National Science Foundation (NSF) Project Grant award of $199,637.00 to the Rochester Institute of Technology (RIT), under the NSF Directorate for Engineering (CFDA 47.041) program, aims to enhance the robustness and efficiency of quantum computing hardware and applications. The key objectives are to: 1) Apply machine learning techniques to extract useful information from the noisy output of quantum computers, enabling their practical use despite hardware limitations, and 2) Identify...
- 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...
- The National Science Foundation (NSF) awarded a $350,069 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Rochester to develop an analog quantum simulator for modeling the dynamics of open quantum systems. The objective is to create a platform using semiconductor quantum dots and quantum electronic circuits that can simulate the dissipative dynamics of excitons in molecular systems, such as those found in photosynthetic complexes or Hubbard...
- 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 federal Project Grant award, valued at $418,198.00, was jointly funded by the National Science Foundation's (NSF) Directorate for Mathematical and Physical Sciences and Directorate for Computer and Information Science and Engineering. The award, titled "EXPANDQISE: TRACK 1: QUANTUM COMPILATION: ELEVATING PERFORMANCE AND SCALABILITY WITH INPUT ADAPTIVITY AND MACHINE LEARNING," aims to address critical challenges in efficient qubit routing for quantum computing. The key products 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...
- This federal Project Grant award of $500,000.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports an intensive training program on computational methods for modeling quantum dynamics in advanced materials. The project, titled "CYBERTRAINING: IMPLEMENTATION: SMALL: MODELING QUANTUM DYNAMICS OF EXCITED STATES IN MATERIALS IN THE ERA OF MACHINE LEARNING", aims to address a critical national need for enhanced training in...
- The National Science Foundation (NSF) awarded a $450,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Trustees of Tufts College to develop and implement quantum and quantum-inspired numerical algorithms for solving complex problems in high-dimensional spaces. The goal is to leverage both classical numerical methods and quantum techniques to overcome challenges such as the curse of dimensionality in areas like machine learning, optimization, and electric...
This Project Grant award of $249,556 from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of a new computational method to accelerate quantum embedding simulations for strongly correlated materials. The project aims to apply machine learning techniques, specifically dimensionality reduction, to construct compact variational subspaces that can approximate the low-energy manifold relevant to embedding calculations. This approach seeks to reduce the complexity of quantum simulations by identifying a smaller, representative set of quantum states, enabling accurate simulations of materials that were previously beyond reach. The project will be executed by the Rochester Institute of Technology (RIT) and is expected to be completed by September 30, 2027. Key outcomes will include training of student researchers, course development, and integration of the developed tools into a widely-used, publicly-available quantum-simulation toolkit.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $249.6k | 8/6/25 |