Hybridndiff-UQ: Uncertainty quantification for hybrid neural differentiable modeling
- DOI
- 10.1016/j.taml.2025.100609
- Published
- 2026-03
- Container
- Theoretical and Applied Mechanics Letters
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.taml.2025.100609,
title = {Hybridndiff-UQ: Uncertainty quantification for hybrid neural differentiable modeling},
author = {Deepak Akhare and Tengfei Luo and Jian-Xun Wang},
year = {2026},
journal = {Theoretical and Applied Mechanics Letters},
doi = {10.1016/j.taml.2025.100609},
url = {https://doi.org/10.1016/j.taml.2025.100609}
}RIS
TY - JOUR TI - Hybridndiff-UQ: Uncertainty quantification for hybrid neural differentiable modeling AU - Deepak Akhare AU - Tengfei Luo AU - Jian-Xun Wang PY - 2026 JO - Theoretical and Applied Mechanics Letters DO - 10.1016/j.taml.2025.100609 UR - https://doi.org/10.1016/j.taml.2025.100609 ER -
APA
Akhare, D., Luo, T., & Wang, J. (2026). Hybridndiff-UQ: Uncertainty quantification for hybrid neural differentiable modeling. Theoretical and Applied Mechanics Letters. https://doi.org/10.1016/j.taml.2025.100609
Source records
- crossref · retrieved 2026-09-25T06:41:33.182Z