Author:
Jackson Nicholas E,Webb Michael A,de Pablo Juan J
Reference65 articles.
1. Machine learning and data science in soft materials engineering;Ferguson;J Phys: Condens Matter,2018
2. Gilmer, J., Schoenholz, S.S., Riley, P.F., Vinyals, O., Dahl, G.E., Neural Message Passing for Quantum Chemistry, arXiv:1704.01212.
3. Assessment and validation of machine learning methods for predicting molecular atomization energies;Hansen;J Chem Theory Comput,2013
4. Automatic selection of atomic fingerprints and reference configurations for machine-learning potentials;Imbalzano;J Chem Phys,2018
5. Machine learning predictions of molecular properties: accurate many-body potentials and nonlocality in chemical space;Hansen;J Phys Chem Lett,2015
Cited by
123 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献