Project Grant 2603825
- Quantum Formatics Corp. received a $305,000 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084) effective October 1, 2025 through September 30, 2026. The project delivers AI-accelerated discovery and development of next-generation superconducting materials engineered for simplified manufacturing and higher operating temperatures than current commercial alternatives. The core...
- 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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Qubitsolve Inc., a minority-owned small disadvantaged business, will develop a computational fluid dynamics (CFD) software prototype for quantum computers. The project aims to utilize quantum computing to perform CFD simulations, initially targeting applications in the aerospace and automotive industries, with potential future use in national defense, healthcare, and...
- This $148,554 Project Grant awarded by the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) aims to develop an open-source, high-fidelity materials database for quantum materials. The key products and services to be delivered are: Implementation of high-throughput algorithms using modern quantum many-body methods, including a combination of Density Functional Theory (DFT) and Dynamical Mean...
- The National Science Foundation (NSF) awarded a $305,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Quantum Metrology LLC. The grant funding will be used to develop an advanced, non-destructive inspection tool that leverages quantum sensing techniques to detect hidden defects in semiconductor chips during the manufacturing process. This innovative approach aims to improve quality control and production efficiency in the U.S. semiconductor...
- This NSF Integrative Activities (CFDA 47.083) project grant, awarded to the University of Alabama at Birmingham (UAB) for $256,892.00, aims to develop a new machine learning-based computational method for simulating quantum effects in large-scale materials systems. The project, which runs from February 1, 2025 to January 31, 2027, will involve a collaboration with researchers at the University of Texas at Austin to apply techniques like density functional theory, Wannier functions, and deep...
- The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) to the University of Chicago. The grant supports the development of "self-learning robotic epitaxy", an AI-driven approach to manufacturing superconducting materials and quantum circuits with high precision and efficiency. The key products and services to be delivered include: Developing wafer-scale robotic epitaxy technology that...
- 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 $700,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the development of machine learning tools and quantum-classical hybrid algorithms to advance quantum materials research and optimize the use of noisy intermediate-scale quantum devices. Led by Cornell University with subawards to Princeton University, New York University, and Harvard University, the project will deliver new topological materials, a...
- 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...
The National Science Foundation awarded $304,905 to Tailwater Informatics Holdings, Corp. on August 15, 2026, under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an AI-driven cloud application programming interface for quantum-accurate materials simulation. The project develops a foundational AI model designed to predict electronic structure of solid materials with high-fidelity accuracy in seconds, addressing a computational bottleneck in materials science discovery. The approach constructs a standardized training dataset derived from plane-wave calculations and trains an equivariant graph neural network that outputs the effective Hamiltonian. The technology targets reduction of quantum mechanical simulation costs by more than 90% and acceleration of materials evaluation from months to weeks, with applications across semiconductors, energy systems, quantum computing, and advanced manufacturing. Performance takes place in Rancho Santa Fe, California, with a period of performance through January 31, 2028. This SBIR Phase I project is classified as a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $304.9k | 8/11/26 |