Computationally efficient physics approximating neural networks for highly nonlinear maps

Christopher Johann Clarke, Jatin Chowdhury, Cindy Ming Ying Lin, Ivan Fu Xing Tan, Prachee Priyadarshinee, Balamurali B. T., Dorien Herremans, Jer-Ming Chen. Computationally efficient physics approximating neural networks for highly nonlinear maps. In Peng Li 0017, Junyoung Heo, Tomás Cerný, editors, Proceedings of the Conference on Research in Adaptive and Convergent Systems, RACS 2022, Virtual Event, Japan, October 3-6, 2022. pages 139-146, ACM, 2022. [doi]

@inproceedings{ClarkeCLTPTHC22,
  title = {Computationally efficient physics approximating neural networks for highly nonlinear maps},
  author = {Christopher Johann Clarke and Jatin Chowdhury and Cindy Ming Ying Lin and Ivan Fu Xing Tan and Prachee Priyadarshinee and Balamurali B. T. and Dorien Herremans and Jer-Ming Chen},
  year = {2022},
  doi = {10.1145/3538641.3561501},
  url = {https://doi.org/10.1145/3538641.3561501},
  researchr = {https://researchr.org/publication/ClarkeCLTPTHC22},
  cites = {0},
  citedby = {0},
  pages = {139-146},
  booktitle = {Proceedings of the Conference on Research in Adaptive and Convergent Systems, RACS 2022, Virtual Event, Japan, October 3-6, 2022},
  editor = {Peng Li 0017 and Junyoung Heo and Tomás Cerný},
  publisher = {ACM},
  isbn = {978-1-4503-9398-0},
}