Project Grant 2245530
Award Date
11/1/22
Completion Date
10/31/23
Dollars Obligated
$205K
Funding Federal Agency
Directorate for Mathematical and Physical Sciences
Awarding Federal Agency
Division of Chemistry
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Melbourne, FL 32901, USA
Similar Awards
The National Science Foundation (NSF) awarded a $382,000 Computer and Information Science and Engineering (CISE) program grant (CFDA 47.070) to North Carolina Agricultural and Technical State University (NC A&T) to expand AI research, education, and workforce development capabilities at the institution. The 2-year project, running from October 2024 to September 2026, aims to: Develop robust, explainable, fair, and privacy-preserving AI models for COVID-19 detection and analysis of biomedical...
This $768,681 Project Grant was awarded by the National Science Foundation (NSF) under the Biological Sciences (CFDA 47.074) program. The grant was awarded to the University of Colorado-Denver to develop an integrated, automated analysis platform for biomolecular nuclear magnetic resonance (NMR) studies. The key objectives are to: Develop an automated and integrated analytical platform for biomolecular NMR that utilizes AI/ML/CV-based techniques for chemical shift assignments,...
The National Science Foundation (NSF) Division of Chemistry awarded a $540,000 Project Grant to the Regents of the University of Minnesota under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports the development of new radiofrequency (RF) irradiation techniques to enhance the performance of nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance imaging (MRI). Specifically, the university's research team is utilizing artificial intelligence software...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will provide $500,000 to the University of Massachusetts (UMass) from July 1, 2025 to June 30, 2027. The project aims to revolutionize spectral analysis, which is crucial for scientific discovery and practical applications, using state-of-the-art artificial intelligence (AI) in an automatic, accelerated, and accurate fashion. The primary objectives...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $307,266 to North Carolina State University (NC State) to develop effective computational methods for training neural networks. The project aims to address fundamental challenges in artificial intelligence by creating a novel Exploration-Exploitation-Determination (EED) framework to significantly improve the training performance of neural networks, which are...
This Project Grant award of $1,272,751 from the National Science Foundation's Biological Sciences program (CFDA 47.074) will support research at The Ohio State University to develop new experimental methods, protocols, and analysis software for characterizing proteins at the atomic level using nuclear magnetic resonance (NMR) spectroscopy. The primary goals are to make NMR more accessible to both experts and non-experts through standardized workflows and free, AI/ML-enhanced software for...
North Carolina State University will receive $751,968 over three years from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering federal grant program (CFDA 47.041) to develop a data-driven approach to accelerate materials and molecule design through autonomous robotic experimentation. The university will create a modular artificial intelligence framework to guide multi-stage chemical synthesis of emerging materials...
This National Science Foundation (NSF) Research Traineeship (NRT) award under the STEM Education (CFDA 47.076) program provides $2,999,566 in funding to North Carolina State University (NC State), in partnership with Fayetteville State University, to train 21 doctoral students, including 10 NSF-funded trainees, at the convergence of plant science and artificial intelligence (AI). The goal is to accelerate the translation of fundamental plant science discoveries from the lab to real-world,...
This $283,430 federal Project Grant awarded by the National Science Foundation (NSF) Division of Chemistry under the Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research between Southern Illinois University Carbondale (SIU) and Wayne State University to enhance the sensitivity and capabilities of nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) techniques. The key objectives of this 3-year project are to: (i) improve the understanding of...
This Project Grant award for $298,000, provided by the National Science Foundation (NSF) Division of Chemistry under the Mathematical and Physical Sciences (CFDA 47.049) program, supports collaborative research between professors at Southern Illinois University Carbondale and Wayne State University. The project aims to improve the sensitivity of nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) through the development of new, cost-effective means of enhancing nuclear...