A statistical learning approach for the design of polycrystalline materials. - Veera Sundararaghavan; Nicholas Zabaras (Stat. Anal. Data Min., 2009)

MicroFract: An image based code for microstructural crack path prediction. - Veera Sundararaghavan; Siddhartha Srivastava (SoftwareX, 2017)

Polycrystalline Microstructure Reconstruction Using Markov Random Fields and Histogram Matching. - Iman Javaheri; Veera Sundararaghavan (Comput. Aided Des., 2020)

Machine learning in quantum computers via general Boltzmann Machines: Generative and Discriminative training through annealing. - Siddhartha Srivastava; Veera Sundararaghavan (CoRR, 2020)

Bandgap optimization in combinatorial graphs with tailored ground states: Application in Quantum annealing. - Siddhartha Srivastava; Veera Sundararaghavan (CoRR, 2021)

Towards Microstructural State Variables in Materials Systems. - Veera Sundararaghavan; Megna N. Shah; Jeff P. Simmons (CoRR, 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, 2023)

Lagrangian Neural Networks for Reversible Dissipative Evolution. - Veera Sundararaghavan; Megna N. Shah; Jeff P. Simmons (CoRR, 2024)