Steven B. Torrisi
Steven B. Torrisi
Senior Research Scientist
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Cited by
Cited by
On-the-fly active learning of interpretable Bayesian force fields for atomistic rare events
J Vandermause, SB Torrisi, S Batzner, Y Xie, L Sun, AM Kolpak, ...
npj Computational Materials 6 (1), 20, 2020
Relaxation and domain formation in incommensurate two-dimensional heterostructures
S Carr, D Massatt, SB Torrisi, P Cazeaux, M Luskin, E Kaxiras
Physical Review B 98 (22), 224102, 2018
Random forest machine learning models for interpretable X-ray absorption near-edge structure spectrum-property relationships
SB Torrisi, MR Carbone, BA Rohr, JH Montoya, Y Ha, J Yano, SK Suram, ...
npj Computational Materials 6 (1), 109, 2020
Data-driven studies of magnetic two-dimensional materials
TD Rhone, W Chen, S Desai, SB Torrisi, DT Larson, A Yacoby, E Kaxiras
Scientific reports 10 (1), 15795, 2020
Decoding reactive structures in dilute alloy catalysts
N Marcella, JS Lim, AM Płonka, G Yan, CJ Owen, JES van der Hoeven, ...
Nature communications 13 (1), 832, 2022
Electronic structure calculations of twisted multi-layer graphene superlattices
GA Tritsaris, S Carr, Z Zhu, Y Xie, SB Torrisi, J Tang, M Mattheakis, ...
2D Materials 7 (3), 035028, 2020
Toward autonomous materials research: Recent progress and future challenges
JH Montoya, M Aykol, A Anapolsky, CB Gopal, PK Herring, ...
Applied Physics Reviews 9 (1), 2022
New challenges in oxygen reduction catalysis: a consortium retrospective to inform future research
MB Stevens, M Anand, ME Kreider, EK Price, JZ Zeledón, L Wang, J Peng, ...
Energy & Environmental Science 15 (9), 3775-3794, 2022
Two-dimensional forms of robust CO2 reduction photocatalysts
SB Torrisi, AK Singh, JH Montoya, T Biswas, KA Persson
npj 2D Materials and Applications 4 (1), 24, 2020
Agents for sequential learning using multiple-fidelity data
A Palizhati, SB Torrisi, M Aykol, SK Suram, JS Hummelshøj, JH Montoya
Scientific reports 12 (1), 4694, 2022
Perpendicular laser cooling with a rotating-wall potential in a Penning trap
SB Torrisi, JW Britton, JG Bohnet, JJ Bollinger
Physical Review A 93 (4), 043421, 2016
System code analysis of HELIAS-type fusion reactor and economic comparison with tokamaks
F Warmer, SB Torrisi, CD Beidler, A Dinklage, Y Feng, J Geiger, ...
IEEE Transactions on Plasma Science 44 (9), 1576-1585, 2016
Random sub-diffusion and capture of genes by the nuclear pore reduces dynamics and coordinates inter-chromosomal movement
MC Sumner, SB Torrisi, DG Brickner, JH Brickner
Elife 10, e66238, 2021
Materials cartography: A forward-looking perspective on materials representation and devising better maps
SB Torrisi, MZ Bazant, AE Cohen, MG Cho, JS Hummelshøj, L Hung, ...
APL Machine Learning 1 (2), 2023
Complexity of many-body interactions in transition metals via machine-learned force fields from the TM23 data set
CJ Owen, SB Torrisi, Y Xie, S Batzner, K Bystrom, J Coulter, A Musaelian, ...
npj Computational Materials 10 (1), 92, 2024
Effects of structural distortions on the electronic structure of -type transition metal dichalcogenides
DT Larson, W Chen, SB Torrisi, J Coulter, S Fang, E Kaxiras
Physical Review B 102 (4), 045128, 2020
Early prediction of ion transport properties in solid polymer electrolytes using machine learning and system behavior-based descriptors of molecular dynamics simulations
A Khajeh, D Schweigert, SB Torrisi, L Hung, BD Storey, HK Kwon
Macromolecules 56 (13), 4787-4799, 2023
Design of an N-dimensional parameter scanner for the systems code PROCESS
S Torrisi, F Warmer
Max-Planck-Institut für Plasmaphysik, 2014
Oxygen Vacancy Formation Energy in Metal Oxides: High-Throughput Computational Studies and Machine-Learning Predictions
B Baldassarri, J He, A Gopakumar, S Griesemer, AJA Salgado-Casanova, ...
Chemistry of Materials 35 (24), 10619-10634, 2023
History-agnostic battery degradation inference
M Ansari, SB Torrisi, A Trewartha, S Sun
Journal of Energy Storage 81, 110279, 2024
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