Machine Learning In Materials Discovery Professors in Global

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Rodrigo Freitas
Massachusetts Institute of Technology United States of America
computational materials science
materials kinetics
physics-informed machine learning
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Michael Marder
University of Texas at Austin United States of America
discovery learning
computational materials science
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Allan Bower
Brown University United States of America
computational materials research
mechanics of materials
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Mark Asta
University of California, Berkeley United States of America
computational materials science
materials science
materials design
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Elizabeth Holm
University of Michigan United States of America
computational materials science
machine learning
machine vision
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Glaucio Paulino
Princeton University United States of America
computational materials science
mechanics of materials
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Adrianus Van Duin
Pennsylvania State University United States of America
materials computation
computational materials science
mechanics of materials
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Hao Zhang
University of Alberta Canada
computational materials science
mathematical modeling
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Roderick Guthrie
McGill University Canada
computational materials engineering
materials process engineering
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Linköping University Sweden
materials design
material synthesis
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Phillip Choi
University of Regina Canada
mathematical molecular modelling
materials characterization processing
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Subham Sahoo
Aalborg University Denmark
scientific machine learning
probabilistic machine learning
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Oleg Gang
Columbia University United States of America
materials characterization
materials design engineering
materials synthesis processing
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Richard Register
Princeton University United States of America
materials design
complex materials processing
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Chengcheng Tao
Purdue University United States of America
computational mechanics of materials
machine learning applications
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Jakob Zech
Heidelberg University Germany
scientific machine learning
structure-preserving machine learning
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Ryan Hurley
Johns Hopkins University United States of America
3d materials characterization
mesoscale multiscale materials modeling
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Reddy Lab
Princeton University United States of America
machine learning
learning in artificial systems
learning in natural systems
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Hayden Schaeffer
University of California Los Angeles United States of America
scientific machine learning
mathematical modeling
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Sumanta Basu
Cornell University Netherlands
structure learning
statistical machine learning
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Chun-long Chen
University of Washington United States of America
materials science
synthesis of new materials
characterization of materials
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