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Learning in continuous action space for developing high dimensional potential energy models.
Published in:
Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-021-27849-6
By:
- Manna, Sukriti;
- Loeffler, Troy D.;
- Batra, Rohit;
- Banik, Suvo;
- Chan, Henry;
- Varughese, Bilvin;
- Sasikumar, Kiran;
- Sternberg, Michael;
- Peterka, Tom;
- Cherukara, Mathew J.;
- Gray, Stephen K.;
- Sumpter, Bobby G.;
- Sankaranarayanan, Subramanian K. R. S.
Publication type:
Article
Active Learning A Neural Network Model for Gold Clusters & Bulk From Sparse First Principles Training Data.
Published in:
ChemCatChem, 2020, v. 12, n. 19, p. 4699, doi. 10.1002/cctc.202001468
By:
- Loeffler, Troy D.;
- Manna, Sukriti;
- Patra, Tarak K.;
- Chan, Henry;
- Narayanan, Badri;
- Sankaranarayanan, Subramanian
Publication type:
Article
Active Learning A Neural Network Model For Gold Clusters & Bulk From Sparse First Principles Training Data.
Published in:
ChemCatChem, 2020, v. 12, n. 19, p. 4796, doi. 10.1002/cctc.202000774
By:
- Loeffler, Troy D.;
- Manna, Sukriti;
- Patra, Tarak K.;
- Chan, Henry;
- Narayanan, Badri;
- Sankaranarayanan, Subramanian
Publication type:
Article
Machine learning coarse grained models for water.
Published in:
Nature Communications, 2019, v. 10, n. 1, p. 1, doi. 10.1038/s41467-018-08222-6
By:
- Chan, Henry;
- Cherukara, Mathew J.;
- Narayanan, Badri;
- Loeffler, Troy D.;
- Benmore, Chris;
- Gray, Stephen K.;
- Sankaranarayanan, Subramanian K. R. S.
Publication type:
Article
Multi-reward reinforcement learning based development of inter-atomic potential models for silica.
Published in:
NPJ Computational Materials, 2023, v. 9, n. 1, p. 1, doi. 10.1038/s41524-023-01074-9
By:
- Koneru, Aditya;
- Chan, Henry;
- Manna, Sukriti;
- Loeffler, Troy D.;
- Dhabal, Debdas;
- Bertolazzo, Andressa A.;
- Molinero, Valeria;
- Sankaranarayanan, Subramanian K. R. S.
Publication type:
Article
Machine learning enabled autonomous microstructural characterization in 3D samples.
Published in:
NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-019-0267-z
By:
- Chan, Henry;
- Cherukara, Mathew;
- Loeffler, Troy D.;
- Narayanan, Badri;
- Sankaranarayanan, Subramanian K. R. S.
Publication type:
Article

Found: 6

Learning in continuous action space for developing high dimensional potential energy models.

Active Learning A Neural Network Model for Gold Clusters & Bulk From Sparse First Principles Training Data.

Active Learning A Neural Network Model For Gold Clusters & Bulk From Sparse First Principles Training Data.

Machine learning coarse grained models for water.

Multi-reward reinforcement learning based development of inter-atomic potential models for silica.

Machine learning enabled autonomous microstructural characterization in 3D samples.