242 citations · 629 across the 42 of their papers we have counts for
4 papers · 1 filter
Transfer learning based multi-fidelity physics informed deep neural network
Souvik Chakraborty
For many systems in science and engineering, the governing differential equation is either not known or known in an approximate sense. Analyses and design of such systems are gover…
Machine learning based digital twin for dynamical systems with multiple time-scales
Souvik Chakraborty, Sondipon Adhikari
Digital twin technology has a huge potential for widespread applications in different industrial sectors such as infrastructure, aerospace, and automotive. However, practical adopt…
Simulation free reliability analysis: A physics-informed deep learning based approach
Souvik Chakraborty
This paper presents a simulation free framework for solving reliability analysis problems. The method proposed is rooted in a recently developed deep learning approach, referred to…
The role of surrogate models in the development of digital twins of dynamic systems
Souvik Chakraborty, Sondipon Adhikari, Ranjan Ganguli
Digital twin technology has significant promise, relevance and potential of widespread applicability in various industrial sectors such as aerospace, infrastructure and automotive.…