Scientific machine learning

Multifidelity machine learning

  • Multifidelity Deep Operator Networks
  • Physics-informed cokriging

Physics-informed machine learning

  • PINNs for multiphase flows

Relevant publications

  1. Howard, Amanda A., Yu, Tong, Wang, Wei, & Tartakovsky, Alexandre M. (2022). Physics- informed CoKriging model of a redox flow battery. Journal of Power Sources 542, 231668.
  2. Reyes, Brandon, Howard, Amanda A., Perdikaris, Paris, & Tartakovsky, Alexandre M. (2021). Learning unknown physics of non-Newtonian fluids. Phys. Rev. Fluids, 6, 073301.

  3. Howard, Amanda A., Perego, Mauro, Karniadakis, George E., & Stinis, Panos. (2022). Multifidelity Deep Operator Networks. arXiv, arXiv:2204.09157.