zoom.us/j/92447982065?pwd=RkhaYkM5VTZPZ3pYSHptUXlRSkppQT09
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Breaking the scaling relation for the Tafel hydrogen evolution step by proximity induced magnetism
Rapid Exploration of Crystal Chemical Space
Addressing correlated materials with dynamical functionals
Neural Thermodynamic Integration: Free Energy estimation with ML-potentials
Boltz-1 Democratizing Biomolecular Interaction Modeling
Ultrafast quantum ionic dynamics to stabilize hidden phases of matter
VarBench: variational benchmarks for quantum many-body problems
Learning Conical Intersections for Excited States Using Smooth Invariants
Random sampling versus active learning algorithms for machine learning potentials of quantum liquid water
Getting from the computer to real world materials faster with machine learning
Please see above for contact details for this list.
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Gilberto Teobaldi, STFC UKRI.
Monday 10 March 2025, 14:30-15:00