Aller directement au contenu principal

Écrire un commentaire

PREreview de PI-JEPA: Label-Free Surrogate Pretraining for Coupled Multiphysics Simulation via Operator-Split Latent Prediction

Publié
DOI
10.5281/zenodo.20534844
Licence
CC BY 4.0

This paper contains several hallucinated references, among which are the following.

  • S. Wang, M. Bharat, and P. Perdikaris. Improved architectures and training recipes for deep operator networks. arXiv preprint arXiv:2204.13678, 2022a

    • No such paper exists. The arxiv ID points to Ye, “Unified Simulation, Perception, and Generation of Human Behavior”

  • S. Wang and P. Perdikaris. Improved training of physics-informed neural networks with model ensembles. arXiv preprint arXiv:2204.05108, 2022.

    • The authors of this paper are Katsiaryna Haitsiukevich and Alexander Ilin.

  • M. De Hoop, D. Huang, W. Qian, and A. M. Stuart. Equivariant neural operators. arXiv preprint arXiv:2204.11139, 2022.

    • No such paper exists. The arxiv ID points to Mijangos et al., “Musical Stylistic Analysis: A Study of Intervallic Transition Graphs via Persistent Homology”

  • J. E. Santos, A. Mehrabifard, M. Prodanovi´c, and M. T. Balhoff. Hybrid deep neural operator/finite element method for unsaturated seepage flow. Advances in Water Resources, 195:104849, 2025.

    • No such paper exists. This appears to be a mangled version of He et al., “A hybrid deep neural operator/finite element method for ice-sheet modeling” (10.1016/j.jcp.2023.112428)

Competing interests

The author declares that they have no competing interests.

Use of Artificial Intelligence (AI)

The author declares that they did not use generative AI to come up with new ideas for their review.

Vous pouvez rédiger un commentaire sur ce PREreview de PI-JEPA: Label-Free Surrogate Pretraining for Coupled Multiphysics Simulation via Operator-Split Latent Prediction.

Avant de commencer

Nous vous demanderons de vous connecter avec votre identifiant ORCID iD. Si vous n'en avez pas, vous pouvez en créer un.

Qu’est-ce qu’un ORCID iD ?

Un ORCID iD est un identifiant unique qui vous distingue de toute personne ayant le même nom ou nom similaire.

Commencer maintenant