Frontiers in Computational Materials Science
INVITED · B29
Presentations
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Nonlinear machine learning in soft materials engineering and design
COFFEE_KLATCH · Invited
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Authors
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Andrew Ferguson
Univ of Illinois - Urbana, University of Illinois at Urbana-Champaign
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Using density functional theory to solve complex problems: from liquid water to dark matter
COFFEE_KLATCH · Invited
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Authors
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Marivi Fernandez-Serra
Stony Brook University, Department of Physics and Astronomy, Stony Brook University, NY, State Univ of NY- Stony Brook
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Quantum Monte Carlo in Materials Science: Electronic Structure
COFFEE_KLATCH · Invited
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Authors
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William Lester, Jr
University of California, Berkeley
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Pushing the Envelope Beyond Standard Density Functional Theory for Simulations of Zero Emission Energy Materials
COFFEE_KLATCH · Invited
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Authors
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Emily Carter
Princeton University
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Machine Learning for Materials and Chemicals Discovery.
COFFEE_KLATCH · Invited
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Authors
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Alan Aspuru-Guzik
Harvard University
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