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Bio
A. Gilad Kusne received the B.S., M.S., and Ph.D. degrees from Carnegie Mellon University. He is a Staff Scientist with the National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA, and an Adjunct Professor with the University of Maryland. His research in materials science is part of the White House’s Materials Genome Initiative at NIST, a project which aims to accelerate the discovery and optimization of advanced materials. Toward this goal, he integrates machine learning with physics theory, simulation, experiment, and databases to provide live data analysis tools for experimentalists and to develop autonomous experiments for materials discovery. His research also includes leading the development of optimization algorithms for genetics-based cellular sensors and exploring methods for optimizing smart city design. For his work, he has been awarded the NIST Science Data Management and Capabilities Accolade.
His interests include the use of machine learning to accelerate discoveries and optimization in materials science, genetics, and smart city design.
Research Interests
Papers共 69 篇Author StatisticsCo-AuthorSimilar Experts
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Artificial Intelligence for Sciencepp.413-430, (2023)
Neutron Newsno. 2 (2023): 6-7
C. Oses,M. Esters,D. Hicks,S. Divilov,H. Eckert,R. Friedrich,M. J. Mehl, A. Smolyanyuk, X. Campilongo,A. van de Walle,J Schroers,A. G. Kusne,
Matterno. 6 (2023): 1880-1893
Chapman and Hall/CRC eBookspp.304-314, (2023)
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Acta Crystallographica Section A Foundations and Advancesno. a2 (2023)
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