Torrisi, Steven B.

1. On-the-Fly Active Learning of Interpretable Bayesian Force Fields for\n Atomistic Rare Events
   2019/04/03 by Jonathan Vandermause, Vandermause, Jonathan, Steven B. Torrisi +11 · 21 citations
   Computer Science · Materials Science · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
2. Complexity of Many-Body Interactions in Transition Metals via Machine-Learned Force Fields from the TM23 Data Set
   2023/02/25 by Cameron J. Owen, Owen, Cameron J., Steven B. Torrisi +14 · 7 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Applied Physics (physics.app-ph) #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Protein Structure and Dynamics
3. Two-Dimensional Forms of Robust CO₂ Reduction Photocatalysts
   2019/12/19 by Torrisi, Steven B., Singh, Arunima K., Montoya, Joseph H. +2 · 1 citation
   #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
4. High-Throughput Ab Initio Design of Atomic Interfaces using InterMatch
   2022/11/30 by Eli Gerber, Gerber, Eli, Steven B. Torrisi +15 · 1 citation
   Materials Science · #2D Materials and Applications #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Quantum Dots Synthesis And Properties