Deep Learning In Materials Science Professors in Global

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Alessio Gagliardi
Technical University of Munich Germany
deep learning
material science
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Vasant Honavar
Pennsylvania State University United States of America
deep learning
materials informatics
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Mikhail Glazunov
Delft University of Technology Netherlands
deep learning
bayesian deep learning
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Jason Klusowski
Princeton University United States of America
deep learning
decision tree learning
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Jianguo Lu
University of Windsor Canada
deep learning
deep web
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Mehrdad Mahdavi
Pennsylvania State University United States of America
deep learning
large-scale machine learning
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Patricia Alconero
Université catholique de Louvain Belgium
material science
materials process engineering
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Matias Carrasco Kind
University of Illinois United States of America
deep learning
data intensive science
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Athanassios Panagiotopoulos
Princeton University United States of America
materials synthesis
materials processing
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Christopher Alabi
Cornell University Netherlands
materials synthesis
materials processing
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Yong Joo
Cornell University Netherlands
materials synthesis
advanced materials processing
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James Engstrom
Cornell University Netherlands
materials processing
advanced materials processing
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Shaoyi Jiang
Cornell University Netherlands
materials synthesis
materials design
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Shaoyi Jiang
Cornell University Netherlands
materials synthesis
materials design
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Atieh Moridi
Cornell University Netherlands
materials synthesis
advanced materials design
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Emma Hu
Georgia Institute of Technology United States of America
materials informatics
data-driven materials design
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Miaomiao Jin
Pennsylvania State University United States of America
materials informatics
computational materials
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Patrik Hoffmann
École Polytechnique Fédérale de Lausanne Switzerland
advanced materials processing
laser materials processing
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Raymundo Arróyave
Texas A&M University United States of America
computational materials science
materials informatics
integration of computational materials engineering
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
bayesian deep learning
deep probabilistic ai
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
bayesian deep learning
deep probabilistic ai
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