Plenary Lecture 7

Coffee Break

MS66: Principled generative modeling for SciML: Divergences and structure

MS33: Hybrid and structure-preserving methods for scientific machine learning

MS10: Intrinsic discretisations in computational mechanics

MS19: Recent advances and applications of exponential integrators

MS23: Low-Rank tensor methods: Algorithms, applications, and machine learning

MS60: Numerical modeling for deterministic and stochastic dynamical systems

MS62: Improving numerical methods with machine learning

MS73.1: High resolution numerical weather prediction

CT01: Waves and finite element methods

CT04: System identification and prediction

CT06: Fluids

CT12: Galerkin and finite element methods

CT15: Plasma and magnetic fields

Lunch Break

Plenary Lecture 8

Coffee Break

MS58.2: Stochastic dynamical systems and machine learning

MS51: Coarse-graining: from derivation to machine-learning and simulation of coarse-grained models

MS64: Recent advances in modeling and numerical algorithms for quantum many-body systems

MS65: Dimensionality reduction and low-rank methods for PDEs

MS68: Structure-preserving machine learning for DAEs and (port-)Hamiltonian systems

MS73.2: High resolution numerical weather prediction

CT03: Explicit and implicit numerical methods

CT08: Molecular dynamics and material sciences

CT14: Splitting schemes