Simulation and parameter optimization of the temperature field in mild moxibustion using physics-informed neural networks.
- DOI
- 10.1016/j.jtherbio.2026.104539
- Published
- 2026-07-15
- Container
- J Therm Biol
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jtherbio.2026.104539,
title = {Simulation and parameter optimization of the temperature field in mild moxibustion using physics-informed neural networks.},
author = {Liu H and Fu Z and Liao J and Hu J and Liu M and She C.},
year = {2026},
journal = {J Therm Biol},
doi = {10.1016/j.jtherbio.2026.104539},
url = {https://doi.org/10.1016/j.jtherbio.2026.104539}
}RIS
TY - JOUR TI - Simulation and parameter optimization of the temperature field in mild moxibustion using physics-informed neural networks. AU - Liu H AU - Fu Z AU - Liao J AU - Hu J AU - Liu M AU - She C. PY - 2026 JO - J Therm Biol DO - 10.1016/j.jtherbio.2026.104539 UR - https://doi.org/10.1016/j.jtherbio.2026.104539 ER -
APA
H, L., Z, F., J, L., J, H., M, L., & C., S. (2026). Simulation and parameter optimization of the temperature field in mild moxibustion using physics-informed neural networks.. J Therm Biol. https://doi.org/10.1016/j.jtherbio.2026.104539
Source records
- europe-pmc · retrieved 2026-09-25T16:36:57.112Z