Prof. Gabor Csanyi

Name:	Prof. Gabor Csanyi
Affiliation:	Engineering Laboratory
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Fri Jan 05 10:39:50 +0000 2024

Public lists managed by Prof. Gabor Csanyi

• Lennard-Jones Centre
• Lennard-Jones Centre external
• Machine learning in Physics, Chemistry and Materials discussion group (MLDG)

Talks given by Prof. Gabor Csanyi

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Foundation Models for Materials Chemistry
• Machine learned force fields and potential energy surfaces
• Force Fields and Potential Energy Surfaces
• Gaussian process regression in molecular modelling
• Gaussian process regression in molecular modelling
• Phase diagrams from first principles using Gaussian Approximation Potentials
• Gaussian Approximation Potentials: quantum mechanical accuracy without electrons
• Matching models across length scales
• A Gaussian approximation potential for metals
• Quantum Mechanical Simulations of Biochemistry
• Title to be confirmed
• Learning quantum physics

Talks organised by Prof. Gabor Csanyi

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Prof. Gabor Csanyi actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• A machine-learned potential for the phase-change-memory material, Ge-Sb-Te
• MLDG: Generative models
• Recent approaches to the fitting or learning of interatomic potentials for molecules and materials
• Machine Learning for the Materials World
• Exploration and learning of free energy landscapes of molecular crystals and oligopeptides
• Multiscale Simulations of Patchy Particle Systems Combining Molecular Dynamics, Path Sampling and Green’s Function Reaction Dynamics
• Co(non)solvency or the puzzle of polymer properties in mixed good or poor solvents
• Codesign in action: the hardware and software architecture of Blue Gene/Q and its impact on scientific applications
• Fluid mechanical modelling of carbon dioxide sequestration
• Maths, Engineering and Industry