The National Science Foundation awarded New York University a $201,408 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) for the period of September 1, 2021 through August 31, 2023.
The grant funds the EAGER: ADAPT project, which will develop AI-enhanced sampling techniques to advance computational methods in lattice field theory and related areas of mathematical, statistical and computational physics. By applying machine learning to sampling problems, the grantee aims to generate insights that strengthen the nation's scientific enterprise and increase understanding of major problems as described in the program objectives of the Mathematical and Physical Sciences federal grant program.
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