Predicting materials properties without crystal structure: Deep representation learning from stoichiometry REA Goodall, AA Lee Nature Communications 11 (1), 1-9, 2020 | 234 | 2020 |
DeePMD-kit v2: A software package for deep potential models J Zeng, D Zhang, D Lu, P Mo, Z Li, Y Chen, M Rynik, L Huang, Z Li, S Shi, ... The Journal of Chemical Physics 159 (5), 2023 | 73 | 2023 |
Rapid discovery of stable materials by coordinate-free coarse graining REA Goodall, AS Parackal, FA Faber, R Armiento, AA Lee Science Advances 8 (30), eabn4117, 2022 | 34 | 2022 |
A foundation model for atomistic materials chemistry I Batatia, P Benner, Y Chiang, AM Elena, DP Kovács, J Riebesell, ... arXiv preprint arXiv:2401.00096, 2023 | 16 | 2023 |
Predicting the Outcomes of Material Syntheses with Deep Learning SA Malik, REA Goodall, AA Lee Chemistry of Materials 33 (2), 616-624, 2021 | 16 | 2021 |
Machine learning benchmarks for the classification of equivalent circuit models from electrochemical impedance spectra J Schaeffer, P Gasper, E Garcia-Tamayo, R Gasper, M Adachi, ... Journal of The Electrochemical Society 170 (6), 060512, 2023 | 11 | 2023 |
Data-driven approximations to the bridge function yield improved closures for the Ornstein–Zernike equation REA Goodall, AA Lee Soft Matter 17 (21), 5393-5400, 2021 | 9 | 2021 |
Materials informatics reveals unexplored structure space in cuprate superconductors REA Goodall, B Zhu, JL MacManus‐Driscoll, AA Lee Advanced Functional Materials 31 (52), 2104696, 2021 | 5 | 2021 |
Matbench Discovery--An evaluation framework for machine learning crystal stability prediction J Riebesell, REA Goodall, A Jain, P Benner, KA Persson, AA Lee arXiv preprint arXiv:2308.14920, 2023 | 3 | 2023 |
Pushing the Pareto front of band gap and permittivity: ML-guided search for dielectric materials J Riebesell, T Surta, R Goodall, M Gaultois, AA Lee arXiv preprint arXiv:2401.05848, 2024 | 1 | 2024 |
Identifying Crystal Structures Beyond Known Prototypes from X-ray Powder Diffraction Spectra AS Parackal, REA Goodall, FA Faber, R Armiento arXiv e-prints, arXiv: 2309.16454, 2023 | | 2023 |