242 citations · 629 across the 42 of their papers we have counts for
5 papers · 2 filters
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification
Sai Krishna Mendu, Souvik Chakraborty
We propose a novel deep learning based surrogate model for solving high-dimensional uncertainty quantification and uncertainty propagation problems. The proposed deep learning arch…
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems
Shailesh Garg, Souvik Chakraborty, Budhaditya Hazra
For real-life nonlinear systems, the exact form of nonlinearity is often not known and the known governing equations are often based on certain assumptions and approximations. Such…
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations
Yash Kumar, Souvik Chakraborty
The physical world is governed by the laws of physics, often represented in form of nonlinear partial differential equations (PDEs). Unfortunately, solution of PDEs is non-trivial…
Surrogate assisted active subspace and active subspace assisted surrogate -- A new paradigm for high dimensional structural reliability analysis
Navaneeth N., Souvik Chakraborty
Performing reliability analysis on complex systems is often computationally expensive. In particular, when dealing with systems having high input dimensionality, reliability estima…
Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system
Shailesh Garg, Ankush Gogoi, Souvik Chakraborty +1
The potential of digital twin technology is immense, specifically in the infrastructure, aerospace, and automotive sector. However, practical implementation of this technology is n…