Gábor Cśanyi
Eötvös Loránd University(HU)University of Cambridge(GB)Bridge University(SS)Angstrom Designs (United States)(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Computational Drug Discovery Methods, X-ray Diffraction in Crystallography, Advanced Chemical Physics Studies, Protein Structure and Dynamics
Most-Cited Works
- → Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons(2010)3,043 cited
- → On representing chemical environments(2013)2,551 cited
- → Gaussian Process Regression for Materials and Molecules(2021)1,127 cited
- → Machine Learning Interatomic Potentials as Emerging Tools for Materials Science(2019)923 cited
- → Performance and Cost Assessment of Machine Learning Interatomic Potentials(2020)897 cited
- → Comparing molecules and solids across structural and alchemical space(2016)778 cited
- →