242 citations · 629 across the 42 of their papers we have counts for
Showing 2020 · stat.MLShow all
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stat.ML2020★ 1 cited
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…
stat.ML2020★ 25 cited
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…
stat.ML2020
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.…