Automated discovery of a robust interatomic potential for aluminum

10 March 2020

Papers citing "Automated discovery of a robust interatomic potential for aluminum"

5 / 5 papers shown

Title
Simple and efficient algorithms for training machine learning potentials to force data Justin S. Smith Nicholas Lubbers A. Thompson K. Barros 36 10 0 09 Jun 2020
Automated Fitting of Neural Network Potentials at Coupled Cluster Accuracy: Protonated Water Clusters as Testing Ground Christoph Schran J. Behler D. Marx 26 93 0 23 Aug 2019
Less is more: sampling chemical space with active learning Justin S. Smith B. Nebgen Nicholas Lubbers Olexandr Isayev A. Roitberg 52 612 0 28 Jan 2018
Hierarchical modeling of molecular energies using a deep neural network Nicholas Lubbers Justin S. Smith K. Barros AI4CE BDL 51 270 0 29 Sep 2017
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning M. Rupp A. Tkatchenko K. Müller O. A. von Lilienfeld AI4CE 144 1,587 0 12 Sep 2011