A reduced-order modeling framework that learns latent dynamics with enforced energy conservation and entropy production, using parametric GENERIC-informed networks, and reports up to 3,528x speedup on Burgers and Vlasov-Poisson benchmarks.
Topology optimization approaches: A comparative review,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems
A reduced-order modeling framework that learns latent dynamics with enforced energy conservation and entropy production, using parametric GENERIC-informed networks, and reports up to 3,528x speedup on Burgers and Vlasov-Poisson benchmarks.