Reinforcement learning closures for underresolved partial differential equations using synthetic data

Computer Methods in Applied Mechanics and Engineering 2026 Open access

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Authors: Lothar Heimbach, Sebastian Kaltenbach, Petr Karnakov, Francis J. Alexander, Petros Koumoutsakos

DOI: 10.1016/j.cma.2026.118767

Cited by: 0

References: 27

Fields of Study & Subjects

Model Reduction and Neural Networks Stochastic Gradient Optimization Techniques Numerical methods for differential equations

References 27