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Janosh Riebesell
Janosh Riebesell
Radical AI, NYC. prev. Lawrence Berkeley Lab, University of Cambridge
在 lbl.gov 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling
B Deng, P Zhong, KJ Jun, J Riebesell, K Han, CJ Bartel, G Ceder
Nature Machine Intelligence 5 (9), 1031-1041, 2023
1292023
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
572023
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
122023
Jobflow: Computational workflows made simple
AS Rosen, M Gallant, J George, J Riebesell, H Sahasrabuddhe, JX Shen, ...
Journal of Open Source Software 9 (93), 5995, 2024
72024
Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning
B Deng, Y Choi, P Zhong, J Riebesell, S Anand, Z Li, KJ Jun, KA Persson, ...
arXiv preprint arXiv:2405.07105, 2024
32024
LLaMP: Large language model made powerful for high-fidelity materials knowledge retrieval and distillation
Y Chiang, CH Chou, J Riebesell
arXiv preprint arXiv:2401.17244, 2024
22024
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
ML Evans, J Bergsma, A Merkys, CW Andersen, OB Andersson, D Beltrán, ...
Digital Discovery, 2024
22024
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
Crystal Toolkit: A Web App Framework to Improve Usability and Accessibility of Materials Science Research Algorithms
M Horton, JX Shen, J Burns, O Cohen, F Chabbey, AM Ganose, R Guha, ...
arXiv preprint arXiv:2302.06147, 2023
12023
Foundational Machine Learning Interatomic Potential to Study Li-Ion Battery Cathode Phase Transformation with Charge Transfer
B Deng, P Zhong, KJ Jun, J Riebesell, K Han, CJ Bartel, G Ceder
PRiME 2024 (October 6-11, 2024), 2024
2024
Best of Atomistic Machine Learning
J Wasmer, J Riebesell, M Evans, B Blaiszik
Quanten-Theorie der Materialien, 2023
2023
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