WACSF - Weighted Atom-Centered Symmetry Functions as Descriptors in Machine Learning Potentials

15 December 2017

Papers citing "WACSF - Weighted Atom-Centered Symmetry Functions as Descriptors in Machine Learning Potentials"

5 / 5 papers shown

Title
A practical guide to machine learning interatomic potentials -- Status and future Ryan Jacobs D. Morgan Siamak Attarian Jun Meng Chen Shen ... K. J. Schmidt So Takamoto Aidan Thompson Julia Westermayr Brandon M. Wood 93 7 0 12 Mar 2025
Machine Learning Molecular Dynamics for the Simulation of Infrared Spectra M. Gastegger J. Behler P. Marquetand AI4CE 33 338 0 16 May 2017
The Many-Body Expansion Combined with Neural Networks Kun Yao John E. Herr John A. Parkhill 58 96 0 22 Sep 2016
By-passing the Kohn-Sham equations with machine learning Felix Brockherde Leslie Vogt Li Li M. Tuckerman K. Burke K. Müller AI4CE 69 607 0 09 Sep 2016
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning M. Rupp A. Tkatchenko K. Müller O. A. von Lilienfeld AI4CE 187 1,591 0 12 Sep 2011