2210.13414
Thermodynamics-informed neural networks for physically realistic mixed reality
Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto
correctmedium confidence
- Category
- math.DS
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper states the GENERIC dynamical form ż = L∇E + M∇S and explicitly claims that, under the degeneracy conditions L∇S = 0 and M∇E = 0 together with L skew-symmetric and M symmetric positive semidefinite, the flow conserves energy and satisfies the entropy inequality; this matches the standard chain-rule argument the model provides . The candidate solution supplies the detailed dot-product/chain-rule derivation implied—but not written out—in the paper, using x·Lx = 0 for skew L, symmetry/PSD of M, and the degeneracy conditions to obtain dE/dt = 0 and dS/dt ≥ 0. Hence both are correct, and the proof ideas are essentially the same.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} specialist/solid \textbf{Justification:} The paper correctly invokes the GENERIC structure to guarantee energy conservation and entropy production and cites the canonical sources. The claim is accurate, but the paper would be clearer with a brief, explicit derivation. Since the main contribution is a thermodynamics-informed GNN pipeline for mixed reality, adding a concise proof would improve self-containment without shifting focus.