Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields

25 August 2022

Papers citing "Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields"

3 / 3 papers shown

Title
Scaling up machine learning-based chemical plant simulation: A method for fine-tuning a model to induce stable fixed points Malte Esders G. A. Ramirez M. Gastegger S. Samal 17 1 0 25 Jul 2023
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects Oliver T. Unke Stefan Chmiela M. Gastegger Kristof T. Schütt H. E. Sauceda K. Müller 151 245 0 01 May 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 127 422 0 10 Mar 2020