Project Grant DESC0021579
- The National Science Foundation Division of Industrial Innovation awarded $256,000 to Nonlinear Materials Corporation of Seattle, Washington under Project Grant STTR PHASE I: ROBUST HIGH-PERFORMANCE ORGANIC ELECTRO-OPTIC MATERIALS. The award period runs from April 15, 2021 through March 31, 2022. Under this award, Nonlinear Materials Corporation will develop robust high-performance organic electro-optic materials to deliver under the Engineering (CFDA 47.041) federal grant program. The...
- Intelligent Automation, LLC received a $250,000 Project Grant award from the Department of Energy Office of Science on February 22, 2021 to develop non-linear machine learning based data reduction software for high-performance computing. The award was made under the Office of Science Financial Assistance Program (CFDA 81.049), which supports scientific discoveries and major scientific tools to transform understanding of nature and advance U.S. energy and economic security. The software developed...
- The Department of Energy's (DOE) Office of Science awarded a $206,500 Project Grant to Materials Modifications Inc., a minority-owned small business, on February 12, 2024. The grant, provided under the Office of Science Financial Assistance Program (CFDA 81.049), supports the development of co-polymer composites for high voltage insulation wraps used in superconducting magnet coils. This work aligns with the DOE Office of Science's mission to advance scientific understanding and develop...
- Sunrise Technology Inc. received a $200,000 Project Grant award from the Department of Energy Office of Science on February 14, 2022 to support work concluding on March 17, 2023. The award is provided through the Office of Science Financial Assistance Program (CFDA 81.049), which aims to deliver scientific discoveries and tools to transform understanding of nature and advance U.S. energy and economic security. Under this award, Sunrise Technology Inc. will develop deep learning methods to enable...
- This $198,498 Project Grant awarded by the National Science Foundation (NSF) Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) supports research at Drexel University aimed at developing a data-driven framework to predict synthesis pathways and optimal conditions for producing computationally-designed solid-state inorganic materials. The project will utilize deep learning, computational thermodynamic modeling, and validation experiments to...
- The Department of Energy (DOE) Office of Science awarded a $206,500 Project Grant to Cerium Laboratories LLC, doing business as Digital Hadrons, to develop a "data-agnostic, continuous machine learning framework for application in high energy physics and beyond". The funding was provided under the DOE Office of Science Financial Assistance Program (CFDA 81.049), which supports fundamental research and technology development projects aligned with the DOE's mission. The award has a...
- This federal Project Grant award from the Department of Energy Office of Science's Financial Assistance Program (CFDA 81.049) provides $203,946.00 to Tetramer Technologies LLC, a small disadvantaged business located in Pendleton, SC, to develop polymer composites with enhanced thermal conductivity. The award period is from July 10, 2023 to April 9, 2024. The Department of Energy's Office of Science program funds research and development projects to advance scientific understanding and support...
- Massachusetts Materials Technologies LLC was awarded a $199,991 project grant from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) on June 27, 2022. The grant will support work developing non-invasive micromechanical testing techniques for measuring tensile and fracture properties of metallic alloys through June 26, 2023. The Office of Science aims to transform understanding of nature and advance U.S. energy security and...
- ACED: Accelerating Materials Discovery by Learning with Physics-Informed Constraints The University of Minnesota received a $500,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) to develop advanced machine and deep learning (MDL) models for accelerated materials discovery. The project, awarded June 15, 2025, with completion targeted for November 30, 2026, aims...
- Nordisch LLC received a $200,000 Project Grant award from the Department of Energy Office of Science on June 28, 2021 to support research titled "COUPLED RADIATION-THERMAL DEGRADATION OF POLYMERIC SYSTEMS IN NUCLEAR PLANTS: DATA-DRIVEN TOOLS TO PREDICT DAMAGE ACCUMULATION & EARLY FAILURES." The funding was provided through the Office of Science Financial Assistance Program (CFDA #81.049), which supports basic research to deliver scientific discoveries and tools that advance U.S....
Nonlinear Materials Corporation received a $230,000 project grant award from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) to support research on machine-learning based prediction of thermal limits for conjugated organic materials. The award, issued on February 22, 2021 with a completion date of August 19, 2022, will fund the development of machine learning models and algorithms to predict thermal and power limits of organic materials used in electronic devices. By advancing computational techniques for organic material design, this research supports the Office of Science's mission to transform understanding of nature and energy technologies through basic scientific research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 2/8/22 | ||
| Not listed | $230.0k | 3/3/21 |