Justin S. Smith
Identifiers
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Papers (7)
- Machine learning for molecular dynamics with strongly correlated electrons cond-mat.str-el · 2018 · author #2
- Transferable Molecular Charge Assignment Using Deep Neural Networks physics.chem-ph · 2018 · author #3
- Less is more: sampling chemical space with active learning physics.comp-ph · 2018 · author #1
- Learning to Navigate: Exploiting Deep Networks to Inform Sample-Based Planning During Vision-Based Navigation cs.RO · 2018 · author #1
- Hierarchical modeling of molecular energies using a deep neural network stat.ML · 2017 · author #2
- ANI-1: A data set of 20M off-equilibrium DFT calculations for organic molecules physics.chem-ph · 2017 · author #1
- ANI-1: An extensible neural network potential with DFT accuracy at force field computational cost physics.chem-ph · 2016 · author #1
Mentions
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Frequent Coauthors
- Olexandr Isayev 4 shared papers
- Adrian E. Roitberg 3 shared papers
- Kipton Barros 3 shared papers
- Nicholas Lubbers 3 shared papers
- Ben Nebgen 2 shared papers
- Adrian Roitberg 1 shared papers
- Andrew Sifain 1 shared papers
- Andrey Lokhov 1 shared papers
- Cristian D. Batista 1 shared papers
- Fu-Jen Chu 1 shared papers
- Gia-Wei Chern 1 shared papers
- Hidemaro Suwa 1 shared papers
- Jin-Ha Hwang 1 shared papers
- Nick Lubbers 1 shared papers
- Patricio A. Vela 1 shared papers
- Sergei Tretiak 1 shared papers