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 to assist in the design process for generating highly compensated, broadband RF pulse shapes. The goal is to enable the acquisition of higher quality data for chemical and structural analysis of biopolymers, thereby improving image quality and acquisition times in MRI. The new RF pulse shapes and optimization techniques will be made freely available to the scientific community. The 3-year project will also provide rigorous training in magnetic resonance concepts and AI optimization for undergraduate and graduate students involved in the research.
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