5 citations · 22 across the 15 of their papers we have counts for
15 papers
FUsion-based ConstitutivE model (FuCe): Towards model-data augmentation in constitutive modelling
Tushar, Sawan Kumar, Souvik Chakraborty
Constitutive modelling is crucial for engineering design and simulations to accurately describe material behavior. However, traditional phenomenological models often struggle to ca…
Discovering governing equation in structural dynamics from acceleration-only measurements
Calvin Alvares, Souvik Chakraborty
Over the past few years, equation discovery has gained popularity in different fields of science and engineering. However, existing equation discovery algorithms rely on the availa…
Data-driven discovery of interpretable Lagrangian of stochastically excited dynamical systems
Tapas Tripura, Satyam Panda, Budhaditya Hazra +1
Exploring the intersection of deterministic and stochastic dynamics, this paper delves into Lagrangian discovery for conservative and non-conservative systems under stochastic exci…
PhyPlan: Compositional and Adaptive Physical Task Reasoning with Physics-Informed Skill Networks for Robot Manipulators
Harshil Vagadia, Mudit Chopra, Abhinav Barnawal +4
Given the task of positioning a ball-like object to a goal region beyond direct reach, humans can often throw, slide, or rebound objects against the wall to attain the goal. Howeve…
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data
Jyoti Rani, Tapas Tripura, Hariprasad Kodamana +1
Fault detection and isolation in complex systems are critical to ensure reliable and efficient operation. However, traditional fault detection methods often struggle with issues su…
Neuroscience inspired scientific machine learning (Part-1): Variable spiking neuron for regression
Shailesh Garg, Souvik Chakraborty
Redundant information transfer in a neural network can increase the complexity of the deep learning model, thus increasing its power consumption. We introduce in this paper a novel…