Optimization of Physics-Informed Neural Networks for Efficient Surrogate Modeling of Huxley's Muscle Model in Multi-Scale Finite Element Simulations

Bogdan Milicevic, Milos R. Ivanovic, Boban S. Stojanovic, Miljan Milosevic, Vladimir M. Milovanovic, Milos Kojic, Nenad Filipovic. Optimization of Physics-Informed Neural Networks for Efficient Surrogate Modeling of Huxley's Muscle Model in Multi-Scale Finite Element Simulations. In 23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023, Dayton, OH, USA, December 4-6, 2023. pages 457-461, IEEE, 2023. [doi]

@inproceedings{MilicevicISMMKF23,
  title = {Optimization of Physics-Informed Neural Networks for Efficient Surrogate Modeling of Huxley's Muscle Model in Multi-Scale Finite Element Simulations},
  author = {Bogdan Milicevic and Milos R. Ivanovic and Boban S. Stojanovic and Miljan Milosevic and Vladimir M. Milovanovic and Milos Kojic and Nenad Filipovic},
  year = {2023},
  doi = {10.1109/BIBE60311.2023.00081},
  url = {https://doi.org/10.1109/BIBE60311.2023.00081},
  researchr = {https://researchr.org/publication/MilicevicISMMKF23},
  cites = {0},
  citedby = {0},
  pages = {457-461},
  booktitle = {23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023, Dayton, OH, USA, December 4-6, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-9311-8},
}