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Brandon Wood
Brandon Wood
Lawrence Berkeley National Laboratory
Verified email at berkeley.edu - Homepage
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Cited by
Year
Open catalyst 2020 (OC20) dataset and community challenges
L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ...
Acs Catalysis 11 (10), 6059-6072, 2021
4222021
Atomate: A high-level interface to generate, execute, and analyze computational materials science workflows
K Mathew, JH Montoya, A Faghaninia, S Dwarakanath, M Aykol, H Tang, ...
Computational Materials Science 139, 140-152, 2017
3262017
Phosphorus reclamation through hydrothermal carbonization of animal manures
SM Heilmann, JS Molde, JG Timler, BM Wood, AL Mikula, GV Vozhdayev, ...
Environmental science & technology 48 (17), 10323-10329, 2014
2412014
Ion transport and the true transference number in nonaqueous polyelectrolyte solutions for lithium ion batteries
KD Fong, J Self, KM Diederichsen, BM Wood, BD McCloskey, KA Persson
ACS central science 5 (7), 1250-1260, 2019
1592019
Elucidating solvation structures for rational design of multivalent electrolytes—a review
NN Rajput, TJ Seguin, BM Wood, X Qu, KA Persson
Modeling Electrochemical Energy Storage at the Atomic Scale, 79-124, 2018
1042018
The Open Catalyst 2022 (OC22) dataset and challenges for oxide electrocatalysts
R Tran, J Lan, M Shuaibi, BM Wood, S Goyal, A Das, J Heras-Domingo, ...
ACS Catalysis 13 (5), 3066-3084, 2023
832023
An introduction to electrocatalyst design using machine learning for renewable energy storage
CL Zitnick, L Chanussot, A Das, S Goyal, J Heras-Domingo, C Ho, W Hu, ...
arXiv preprint arXiv:2010.09435, 2020
762020
Conformational entropy as a means to control the behavior of poly (diketoenamine) vitrimers in and out of equilibrium
C He, PR Christensen, TJ Seguin, EA Dailing, BM Wood, RK Walde, ...
Angewandte Chemie International Edition 59 (2), 735-739, 2020
732020
Industrial symbiosis: Corn ethanol fermentation, hydrothermal carbonization, and anaerobic digestion
BM Wood, LR Jader, FJ Schendel, NJ Hahn, KJ Valentas, PJ McNamara, ...
Biotechnology and bioengineering 110 (10), 2624-2632, 2013
482013
The Interplay between Salt Association and the Dielectric Properties of Low Permittivity Electrolytes: The Case of LiPF6 and LiAsF6 in Dimethyl Carbonate
J Self, BM Wood, NN Rajput, KA Persson
The Journal of Physical Chemistry C 122 (4), 1990-1994, 2018
472018
Spherical channels for modeling atomic interactions
L Zitnick, A Das, A Kolluru, J Lan, M Shuaibi, A Sriram, Z Ulissi, B Wood
Advances in Neural Information Processing Systems 35, 8054-8067, 2022
432022
Equiformerv2: Improved equivariant transformer for scaling to higher-degree representations
YL Liao, B Wood, A Das, T Smidt
arXiv preprint arXiv:2306.12059, 2023
342023
Open challenges in developing generalizable large-scale machine-learning models for catalyst discovery
A Kolluru, M Shuaibi, A Palizhati, N Shoghi, A Das, B Wood, CL Zitnick, ...
ACS Catalysis 12 (14), 8572-8581, 2022
332022
Response of maize germination and growth to hydrothermal carbonization filtrate type and amount
GV Vozhdayev, KA Spokas, JS Molde, SM Heilmann, BM Wood, ...
Plant and soil 396, 127-136, 2015
302015
Quantum chemical calculations of lithium-ion battery electrolyte and interphase species
EWC Spotte-Smith, SM Blau, X Xie, HD Patel, M Wen, B Wood, ...
Scientific Data 8 (1), 203, 2021
282021
Towards training billion parameter graph neural networks for atomic simulations
A Sriram, A Das, BM Wood, S Goyal, CL Zitnick
arXiv preprint arXiv:2203.09697, 2022
272022
Aromaticity as a guide to planarity in conjugated molecules and polymers
BM Wood, AC Forse, KA Persson
The Journal of Physical Chemistry C 124 (10), 5608-5612, 2020
152020
Adsorbml: Accelerating adsorption energy calculations with machine learning
J Lan, A Palizhati, M Shuaibi, BM Wood, B Wander, A Das, M Uyttendaele, ...
arXiv e-prints, arXiv: 2211.16486, 2022
132022
High surface area carbon black (BP‐2000) as a reinforcing agent for poly [(−)‐lactide]
PA Delgado, JP Brutman, K Masica, J Molde, B Wood, MA Hillmyer
Journal of Applied Polymer Science 133 (45), 2016
132016
From molecules to materials: Pre-training large generalizable models for atomic property prediction
N Shoghi, A Kolluru, JR Kitchin, ZW Ulissi, CL Zitnick, BM Wood
arXiv preprint arXiv:2310.16802, 2023
92023
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