Inverse Design for Fluid-Structure Interactions using Graph Network Simulators

Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff. Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{AllenLSSBHP22,
  title = {Inverse Design for Fluid-Structure Interactions using Graph Network Simulators},
  author = {Kelsey R. Allen and Tatiana Lopez-Guevara and Kimberly L. Stachenfeld and Alvaro Sanchez-Gonzalez and Peter W. Battaglia and Jessica B. Hamrick and Tobias Pfaff},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/59593615e358d52295578e0d8e94ec4a-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/AllenLSSBHP22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}