Veera Sundararaghavan

According to our database, Veera Sundararaghavan authored at least 9 papers between 2009 and 2026.

Collaborative distances:

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

2026

From Data to Theory: Autonomous Large Language Model Agents for Materials Science.

Samuel Onimpa Alfred, Veera Sundararaghavan

CoRR, April, 2026

2024

Lagrangian Neural Networks for Reversible Dissipative Evolution.

Veera Sundararaghavan, Megna N. Shah, Jeff P. Simmons

CoRR, 2024

2023

Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity.

Arunabha M. Roy, Rikhi Bose, Veera Sundararaghavan, Raymundo Arróyave

Neural Networks, May, 2023

Towards Microstructural State Variables in Materials Systems.

Veera Sundararaghavan, Megna N. Shah, Jeff P. Simmons

CoRR, 2023

2021

Bandgap optimization in combinatorial graphs with tailored ground states: Application in Quantum annealing.

Siddhartha Srivastava, Veera Sundararaghavan

CoRR, 2021

2020

Machine learning in quantum computers via general Boltzmann Machines: Generative and Discriminative training through annealing.

Siddhartha Srivastava, Veera Sundararaghavan

CoRR, 2020

Polycrystalline Microstructure Reconstruction Using Markov Random Fields and Histogram Matching.

Iman Javaheri, Veera Sundararaghavan

Comput. Aided Des., 2020

2017

MicroFract: An image based code for microstructural crack path prediction.

Veera Sundararaghavan, Siddhartha Srivastava

SoftwareX, 2017

2009

A statistical learning approach for the design of polycrystalline materials.

Veera Sundararaghavan, Nicholas Zabaras

Stat. Anal. Data Min., 2009