Prakash Thakolkaran

According to our database, Prakash Thakolkaran authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs).

Prakash Thakolkaran, Yaqi Guo, Shivam Saini, Mathias Peirlinck, Benjamin Alheit, Siddhant Kumar

CoRR, March, 2025

2024

Deep learning reveals key predictors of thermal conductivity in covalent organic frameworks.

Prakash Thakolkaran, Yiwen Zheng, Yaqi Guo, Aniruddh Vashisth, Siddhant Kumar

CoRR, 2024

2023

Experiment-informed finite-strain inverse design of spinodal metamaterials.

Prakash Thakolkaran, Michael A. Espinal, Somayajulu Dhulipala, Siddhant Kumar, Carlos M. Portela

CoRR, 2023

Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling.

Yiwen Zheng, Prakash Thakolkaran, Jake A. Smith, Ziheng Lu, Shuxin Zheng, Bichlien H. Nguyen, Siddhant Kumar, Aniruddh Vashisth

CoRR, 2023

Artificial neural network supported design of a lattice-based artificial spinal disc for restoring patient-specific anisotropic behaviors.

Zhiyang Yu, Prakash Thakolkaran, Kristina Shea, Tino Stankovic

Comput. Biol. Medicine, 2023

2022

NN-EUCLID: deep-learning hyperelasticity without stress data.

Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar

CoRR, 2022

Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties.

Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng, Maxime Escande, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar

CoRR, 2022