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
350 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
294 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
133 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
70 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
56 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
44 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
39 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
31 2022 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
25 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
25 2020 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
17 2024 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
17 2016 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
13 2023 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
11 2023 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
11 2021 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
11 * 2016 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
9 2023 How the AI-assisted discovery and synthesis of a ternary oxide highlights capability gaps in materials science JH Montoya, C Grimley, M Aykol, C Ophus, H Sternlicht, BH Savitzky, ...
Chemical Science 15 (15), 5660-5673, 2024
8 * 2024 Effects of structural distortions on the electronic structure of DT Larson, W Chen, SB Torrisi, J Coulter, S Fang, E Kaxiras
Physical Review B 102 (4), 045128, 2020
6 2020 High-throughput ab initio design of atomic interfaces using InterMatch E Gerber, SB Torrisi, S Shabani, E Seewald, J Pack, JE Hoffman, ...
Nature Communications 14 (1), 7921, 2023
5 2023 
Joseph MontoyaToyota Research InstituteZweryfikowany adres z tri.global