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Rhys Goodall
Rhys Goodall
Machine Learning Researcher, Chemix.ai
Verified email at cantab.ac.uk
Title
Cited by
Cited by
Year
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry
REA Goodall, AA Lee
Nature Communications 11 (1), 1-9, 2020
2342020
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
732023
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
342022
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
162023
Predicting the Outcomes of Material Syntheses with Deep Learning
SA Malik, REA Goodall, AA Lee
Chemistry of Materials 33 (2), 616-624, 2021
162021
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
112023
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
92021
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
52021
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
32023
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
12024
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
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Articles 1–11