Energy Optimisation of Cascading Neural-network Classifiers. - Vinamra Agrawal; Anandha Gopalan (SMARTGREENS, 2020)

Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images. - Roberto Perera; Davide Guzzetti; Vinamra Agrawal (CoRR, 2021)

Massively parallel finite difference elasticity using block-structured adaptive mesh refinement with a geometric multigrid solver. - Brandon Runnels; Vinamra Agrawal; Weiqun Zhang; Ann S. Almgren (J. Comput. Phys., 2021)

A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks. - Roberto Perera; Vinamra Agrawal (CoRR, 2022)

Robust, strong form mechanics on an adaptive structured grid: efficiently solving variable-geometry near-singular problems with diffuse interfaces. - Vinamra Agrawal; Brandon Runnels (CoRR, 2022)

Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations. - Roberto Perera; Vinamra Agrawal (CoRR, 2024)

A Foundation Model for Material Fracture Prediction. - Agnese Marcato; Aleksandra Pachalieva; Ryley G. Hill; Kai Gao; Xiaoyu Wang; Esteban Rougier; Zhou Lei; Vinamra Agrawal; Janel Chua; Qinjun Kang; Jeffrey D. Hyman; Abigail Hunter; et al. (CoRR, 2025)