Project Grant 2522768
- 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),...
- 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...
- This $100,000 Project Grant award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program will support a two-day workshop at North Carolina State University (NC State) focused on the emergence of self-driving laboratories (SDLs) and their potential to accelerate scientific discovery and innovation in fields like energy, sustainability, and healthcare. The workshop will bring together a diverse group of academic and industry researchers to...
- This Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) supports collaborative research to develop scalable nanomanufacturing methods for lead-free perovskite-analogue nanocrystals. The $392,931 project, awarded to North Carolina State University, aims to address critical knowledge gaps in the high-throughput production of copper-based perovskite-analogue nanocrystals using reconfigurable and modular continuous flow reactors. The research...
- This $400,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program aims to revolutionize the discovery of new solid-state materials that can precisely control the mobility of ions and electrons. The University of North Carolina at Charlotte (UNC Charlotte) will lead this collaborative research project, which leverages advanced AI, machine learning, and automated synthesis tools to develop a transformative approach to designing solid-state...
- 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 (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 from the National Science Foundation's (CFDA 47.049) Mathematical and Physical Sciences program provides $300,776 to the University of Tennessee to develop an autonomous experimental framework for materials discovery. The key objectives are to create machine learning agents that can coordinate multiple experimental tools, such as microscopes and synthesis platforms, to accelerate the discovery and optimization of novel ferroelectric and electrochemical materials. This...
- 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 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program aims to develop a transformative approach to designing solid-state ion conductors using multi-element doping. The $1,060,000 grant, awarded to Duke University effective October 1, 2025 through September 30, 2029, will leverage advanced artificial intelligence, machine learning, and automated synthesis tools to establish a data-driven framework for optimizing ion and...
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 exploring extensive materials synthesis parameter spaces to drastically shorten the discovery timeline from years to weeks or months. The research is expected to lead to the development of new semiconductor materials with applications in emerging electronics and quantum engineering technologies, while also creating new educational programs to train a skilled workforce in AI-driven and autonomous scientific research methodologies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $920.0k | 9/4/25 |