A physics informed neural network architecture for moving boundary problems in science and engineering.
- DOI
- 10.1016/j.neunet.2025.108500
- Published
- 2026 May
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.108500,
title = {A physics informed neural network architecture for moving boundary problems in science and engineering.},
author = {Malla S and Oelz D and Roy S},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2025.108500},
url = {https://doi.org/10.1016/j.neunet.2025.108500}
}RIS
TY - JOUR TI - A physics informed neural network architecture for moving boundary problems in science and engineering. AU - Malla S AU - Oelz D AU - Roy S PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2025.108500 UR - https://doi.org/10.1016/j.neunet.2025.108500 ER -
APA
S, M., D, O., & S, R. (2026). A physics informed neural network architecture for moving boundary problems in science and engineering.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2025.108500
Source records
- pubmed · retrieved 2026-09-27T08:53:17.465Z