Invited lecture on Physics informed neural network

November 28, 2019 | Souvik Chakraborty

Dr. Chakraborty delivered an invited lecture on "Machine learning for scientific data analysis, uncertainty quantification and design under uncertainty". In this talk, Dr. Chakraborty discussed about the possible use of machine learning for solving design under uncertainty, uncertainty quantifiation and inverse problems. The concepts of learning to learn and physics informed machine learning were discussed in this talk. Majority of the concepts discussed in this talk were taken from Dr. Chakraborty's recent research publications [1,2].