Dr Matthias Sachs
Lecturer in Mathematics and AIPhD Supervision Interests
Stochastic numerics, Markov chain Monte Carlo, Bayesian computation, Generative diffusion models, , Active learning, Molecular dynamics, Machine-learned interatomic potentials, Equivariant machine learning, Generative modelling, Scientific computing
Scientific Computing and Differential Equations
Participation in conference - Academic
Data-Driven Modelling of Metallic Materials Across Scales
Participation in workshop, seminar, course
Dynamics, Quantum Effects, and Machine Learning in Materials Science and Computational Chemistry (DQML)
Participation in workshop, seminar, course
MARS: Mathematics for AI in Real-world Systems
- DSAIL - Foundations
- DSAIL - Health
- DSAIL - Society
- MARS: Mathematics for AI in Real-world Systems