Dr. Chakraborty delivered an invited lecture on "Transfer learning based physics informed deep learning" at the Crunch Seminar Series, Brown University. In this talk, Dr. Chakraborty talked about coupling approximate (low-fidelity) physics with accurate (high-fidelity) but sparse data. Majority of the talk was based on his recent publication in the Journal of Computational Physics [1].

Reference

[1] Chakraborty, S. (2021). Transfer learning based multi-fidelity physics informed deep neural network. Journal of Computational Physics, 426, 109942.