Toward nonlinear representations with Gaussian-splat manifolds for physics-informed learning

Xu Han, Kuangxu Chen, Rui Wang, Guanzhou Wei, Ligong Han, Han Gao

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DOI: 10.1038/s41467-026-76254-4
Published: 2026-08-12
Container: Nature Communications
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-76254-4,
  title = {Toward nonlinear representations with Gaussian-splat manifolds for physics-informed learning},
  author = {Xu Han and Kuangxu Chen and Rui Wang and Guanzhou Wei and Ligong Han and Han Gao},
  year = {2026},
  journal = {Nature Communications},
  doi = {10.1038/s41467-026-76254-4},
  url = {https://doi.org/10.1038/s41467-026-76254-4}
}

RIS

TY  - JOUR
TI  - Toward nonlinear representations with Gaussian-splat manifolds for physics-informed learning
AU  - Xu Han
AU  - Kuangxu Chen
AU  - Rui Wang
AU  - Guanzhou Wei
AU  - Ligong Han
AU  - Han Gao
PY  - 2026
JO  - Nature Communications
DO  - 10.1038/s41467-026-76254-4
UR  - https://doi.org/10.1038/s41467-026-76254-4
ER  -

APA

Han, X., Chen, K., Wang, R., Wei, G., Han, L., & Gao, H. (2026). Toward nonlinear representations with Gaussian-splat manifolds for physics-informed learning. Nature Communications. https://doi.org/10.1038/s41467-026-76254-4

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crossref · retrieved 2026-09-26T03:06:34.173Z