Project Grant 2313156

Award Date 8/1/23
Completion Date 7/31/26
Dollars Obligated $1.2M
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
New York, NY 10012, USA
Similar Awards
This federal Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), is for the development of a novel open-source optimization framework for the design and simulation of radiofrequency (RF) coils for magnetic resonance imaging (MRI). The $595,870 award will support the creation of a software toolkit that can automatically optimize the...
This Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), provides $350,242 to New York University to develop a novel, rapid, and memory-efficient open-source software for radiofrequency (RF) coil modeling in magnetic resonance imaging (MRI). The project aims to create a powerful electromagnetic modeling software tool that leverages...
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 from the National Science Foundation's Technology, Innovation, and Partnerships program provides $287,163 to Cornell University from May 2021 through October 2023. The funding supports research entitled "Enabling More Scans per Machine through Magnetic Resonance Imaging Data Processing." The goal is to advance science and engineering research and innovation leading to breakthrough technologies as well as solutions to national and societal challenges, consistent...
The National Science Foundation (NSF) awarded a $450,000 Project Grant under the Engineering program (CFDA 47.041) to the Regents of the University of Michigan to develop a groundbreaking broadband probe-based RF and microwave measurement system. This novel technology enables highly localized, non-invasive characterization of the electromagnetic response of receiving systems, representing a significant advancement in electromagnetic measurement capabilities. The proposed probe can precisely...
This $199,040 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop new classes of computational algorithms that combine the benefits of direct computer simulations and the speed of machine learning predictions. The project, titled "XTRIPODS: HYBRID SCIENCE-MACHINE LEARNING SOLVERS FOR NANOPHOTONICS AND METAMATERIALS," will embed scientific knowledge into the machine learning...
This National Science Foundation (NSF) Project Grant awarded under the Engineering program (CFDA 47.041) is for the development of a new high-resolution and high-sensitivity magnetic field microscope that combines rare-earth-doped magnetic nanoparticles and dual-comb microscopy techniques. The $499,944 award to the University of Colorado will fund research to: (1) improve the synthesis of magnetic nanoparticle-polymer composites with high Verdet constant and low absorption to enable...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $450,000 to Colorado State University (CSU) from August 1, 2024 to July 31, 2027. The project aims to develop a novel adaptive, fully anisotropic multiscale hp-element method to revolutionize simulation-based design in computational electromagnetics (CEM). The research will create exponentially convergent techniques to accurately and efficiently model multiscale, non-smooth behavior...
The National Science Foundation (NSF) Engineering Program awarded The Trustees of Princeton University's Office of Research and Project Administration a $338,926 Project Grant to conduct fundamental research on modeling and designing complex power magnetic components for electrical power converters. The goals are to develop systematic methods for modeling and designing multi-winding power magnetics, create software tools for optimal power magnetic design, and demonstrate the effectiveness of the...
This $275,000 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences supports the development of novel approaches to solving inverse problems. The goal is to enhance the accuracy and efficiency of computational methods used in critical applications like electrical impedance tomography, inverse scattering, and cryo-electron microscopy. This research has the potential to accelerate breakthroughs in molecular biology and rapid drug development, directly...

This National Science Foundation (NSF) Project Grant award to New York University (NYU) under the Computer and Information Science and Engineering program (CFDA 47.070) aims to develop an advanced software tool that automates the design and optimization of electromagnetic (EM) systems, with a focus on improving the performance of magnetic resonance imaging (MRI) devices. The $1,164,641 award, effective from August 1, 2023 to July 31, 2026, will create a software pipeline that combines geometry processing, advanced EM simulations, machine learning, and shape modeling techniques to optimize the design of key MRI components like radiofrequency (RF) coils. This project seeks to address inefficiencies in the manual optimization processes used for RF coils, which impact the quality of MRI imaging. The developed software tools and optimized RF coil design will be made available as open-source resources, enabling broader impacts across the EM systems research and development community.

Generated 4/30/24, 7:10 AM