Project Grant 2522770
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to Brown University. The grant, titled "COLLABORATIVE RESEARCH: DMREF: ACCELERATED DISCOVERY OF PEROVSKITE NANOMATERIALS USING DISTRIBUTED SELF-DRIVING LABS," aims to accelerate the discovery of high-performance, lead-free perovskite nanocrystals through the integration of high-throughput experimentation, artificial intelligence (AI),...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $920,000 to North Carolina State University to accelerate the discovery of lead-free perovskite nanomaterials through the integration of high-throughput experimentation, artificial intelligence, and advanced data-sharing strategies across multiple institutions. The project aims to establish networked self-driving laboratories (SDLs) capable of autonomously...
- This federal Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) provides $330,000.00 in funding to the University of Maryland, College Park to develop an autonomous experimental framework for materials discovery. The key products and services to be delivered through this 3-year grant include: Strategies for building smart experimental systems that allow different instruments like microscopes, characterization tools,...
- This $519,998 project grant, awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), aims to revolutionize the discovery of new solid-state materials that can precisely control the mobility of ions and electrons. The University of California, San Diego (UCSD) will lead a collaborative research effort leveraging advanced artificial intelligence, machine learning, and automated synthesis tools to develop a data-driven approach for designing...
- The National Science Foundation awarded a $350,000 Project Grant under its Mathematical and Physical Sciences (CFDA 47.049) federal grant program to the Research Foundation for the State University of New York (RF SUNY) for the "COLLABORATIVE RESEARCH: DMREF: NSF-DFG: NEUROTRONICS: DESIGNER DOPED SEMICONDUCTORS FOR NEUROMORPHIC BIOELECTRONICS" project. This multi-year project, with an ultimate completion date of September 30, 2029, aims to create new materials that can seamlessly...
- The National Science Foundation (NSF) Division of Materials Research awarded a $262,500 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Georgia Tech Research Corporation (Georgia Tech) for the "DMREF/Collaborative Research: Active Learning-based Material Discovery for 3D Printed Solids with Locally-Tunable Electrical and Mechanical Properties" project. This multi-disciplinary effort aims to establish an active learning approach to rapidly...
- This $2,000,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will accelerate the discovery of new superconducting materials through a transformative approach combining artificial intelligence (AI), quantum theory, and experimental synthesis. The research will integrate AI methods to predict superconductor properties and design novel, synthesizable materials with targeted superconducting and mechanical characteristics....
- The National Science Foundation (NSF) Division of Materials Research awarded a $164,671 Project Grant to Arizona State University to develop and evaluate a new class of lead-free perovskite halide materials for optoelectronic applications under the Mathematical and Physical Sciences (CFDA 47.049) program. This collaborative research between the University of Maine and the University of Alabama aims to computationally design, synthesize, characterize, and assess the stability of...
- This Project Grant award, titled "COLLABORATIVE RESEARCH: DMREF: OP: MULTI-SCALE ENGINEERED METAMATERIALS APPROACHING FUNDAMENTAL LIMITS OF LINEAR AND NONLINEAR SUSCEPTIBILITIES", was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049). The $500,000 award aims to design a new class of engineered metamaterials with advanced optical properties, such as high refractive index and nonlinear optical...
- The National Science Foundation (NSF) awarded a $123,573 Project Grant under the Technology, Innovation, and Partnerships (CFDA 47.084) program to Middle Tennessee State University (MTSU) for the research project "COLLABORATIVE RESEARCH: DMREF: DATA-DRIVEN PREDICTION OF HYBRID ORGANIC-INORGANIC STRUCTURES". The project aims to accelerate the prediction of hybrid organic-inorganic perovskite-type structures, which have shown promise in applications such as solar cells, LEDs, and...
The National Science Foundation (NSF) awarded a $480,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to The Research Foundation for the State University of New York (RF SUNY) for the "Collaborative Research: DMREF: Accelerated Discovery of Perovskite Nanomaterials using Distributed Self-Driving Labs" project. This research aims to accelerate the discovery of high-performance, lead-free perovskite nanocrystals through the integration of high-throughput experimentation, artificial intelligence, and advanced data-sharing strategies across multiple institutions. By establishing networked self-driving laboratories capable of autonomously exploring materials synthesis parameter spaces, the project is expected to drastically shorten discovery timelines from years to weeks or months. The broader impacts include the development of new educational programs to train a skilled workforce proficient in AI-driven and autonomous scientific research methodologies. The project is aligned with NSF's Designing Materials to Revolutionize and Engineer our Future (DMREF) program and supports the objectives of the Materials Genome Initiative.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $480.0k | 9/4/25 |