Search filters

List of works by Gábor Csányi

A general-purpose machine-learning force field for bulk and nanostructured phosphorus

scientific article published on 29 October 2020

A machine learning based intramolecular potential for a flexible organic molecule

scientific article published on 21 September 2020

An accurate and transferable machine learning potential for carbon

scientific article published on 01 July 2020

Combining phonon accuracy with high transferability in Gaussian approximation potential models

scientific article published on 01 July 2020

Extracting Crystal Chemistry from Amorphous Carbon Structures

scientific article

Functional movements of the GABA type A receptor

scientific article published on 07 July 2020

Gaussian Process Regression for Materials and Molecules

scientific article published on 16 August 2021

Gaussian approximation potential for amorphous Si : H

scientific article published in 2022

Growth Mechanism and Origin of High sp^{3} Content in Tetrahedral Amorphous Carbon.

scientific article

Linear Atomic Cluster Expansion Force Fields for Organic Molecules: Beyond RMSE

scientific article published on 04 November 2021

Machine learning in chemical reaction space

scientific article published on 30 October 2020

Machine learning unifies the modeling of materials and molecules.

scientific article published on 13 December 2017

Origins of structural and electronic transitions in disordered silicon

scientific article published on 06 January 2021

Towards an atomistic understanding of disordered carbon electrode materials.

scientific article published in June 2018

Understanding the thermal properties of amorphous solids using machine-learning-based interatomic potentials

scholarly article by Gabriele C. Sosso et al published 13 March 2018 in Molecular Simulation