دنبال کردن
John L.A. Gardner
John L.A. Gardner
Machine Learning for Science, University of Oxford
ایمیل تأیید شده در chem.ox.ac.uk - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
How to validate machine-learned interatomic potentials‏
JD Morrow, JLA Gardner, VL Deringer‏
The Journal of chemical physics 158 (12), 2023‏
862023
Synthetic pre-training for neural-network interatomic potentials‏
JLA Gardner, KT Baker, VL Deringer‏
Machine Learning: Science and Technology 5 (1), 015003, 2024‏
172024
Synthetic data enable experiments in atomistic machine learning‏
JLA Gardner, ZF Beaulieu, VL Deringer‏
Digital Discovery 2 (3), 651-662, 2023‏
132023
Data as the next challenge in atomistic machine learning‏
C Ben Mahmoud, JLA Gardner, VL Deringer‏
Nature Computational Science, 1-4, 2024‏
92024
Coarse-grained versus fully atomistic machine learning for zeolitic imidazolate frameworks‏
ZF Beaulieu, TC Nicholas, JLA Gardner, AL Goodwin, VL Deringer‏
Chemical Communications 59 (76), 11405-11408, 2023‏
52023
An automated framework for exploring and learning potential-energy surfaces‏
Y Liu, JD Morrow, C Ertural, NL Fragapane, JLA Gardner, AA Naik, ...‏
arXiv preprint arXiv:2412.16736, 2024‏
22024
Using spectroscopy to probe relaxation, decoherence, and localization of photoexcited states in π-conjugated polymers‏
W Barford, JLA Gardner, JR Mannouch‏
Faraday Discussions 221, 281-298, 2020‏
22020
Assessing zero-shot generalisation behaviour in graph-neural-network interatomic potentials‏
CB Mahmoud, Z El-Machachi, KA Gierczak, JLA Gardner, VL Deringer‏
arXiv preprint arXiv:2502.21317, 2025‏
2025
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–8