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AI-Based Artificial Chemist Directs Automated Lab to Create Better MRI Contrast Agents
Artificial-intelligence algorithm developed on XSEDE-allocated systems promises better MRI agents with unprecedented speed of discovery Jan. 6, 2022
Chapel hill
United states
Frank leibfarth
Filipp gusev
Olexandr isayev
Marcus reis
Carnegie mellon university
Texas advanced computing center
Pittsburgh phd program in computational biology
National science foundation
Department of chemistry
Pittsburgh supercomputing center
University of north carolina at chapel hill
Core laboratory
North carolina
Computing resource
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