SCICADE2026: SCIENTIFIC COMPUTING AND DIFFERENTIAL EQUATIONS
Appleton Tower Lecture Theatre 3

Capacity: 300

Sessions

  • Session 2G (Jun 29 10:30-12:30) MS45.1: Foundations and frontiers of scientific machine learning for differential equations
  • Session 4E (Jun 29 15:30-17:30) MS45.2: Foundations and frontiers of scientific machine learning for differential equations
  • Session 6C (Jun 30 10:30-12:30) MS08.1: Stochastic numerics for SDEs
  • Session 9B (Jun 30 15:30-17:30) MS08.2: Stochastic numerics for SDEs
  • Session 11G (Jul 01 10:30-12:30) MS46: Modern machine learning methods for molecular simulation
  • Session 13I (Jul 02 10:30-12:30) MS58.1: Stochastic dynamical systems and machine learning
  • Session 15H (Jul 02 15:30-17:30) MS38: Recent applications of splitting methods
  • Session 17C (Jul 03 10:30-12:30) MS10: Intrinsic discretisations in computational mechanics
  • Session 19C (Jul 03 15:30-17:30) MS64: Recent advances in modeling and numerical algorithms for quantum many-body systems