Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis. - Anindya Bhaduri; Yanyan He; Michael D. Shields; Lori Graham-Brady; Robert M. Kirby (J. Comput. Phys., 2018)

An efficient optimization based microstructure reconstruction approach with multiple loss functions. - Anindya Bhaduri; Ashwini Gupta; Audrey Olivier; Lori Graham-Brady (CoRR, 2021)

Stress field prediction in fiber-reinforced composite materials using a deep learning approach. - Anindya Bhaduri; Ashwini Gupta; Lori Graham-Brady (CoRR, 2021)

Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field. - Lele Luan; Nesar Ramachandra; Sandipp Krishnan Ravi; Anindya Bhaduri; Piyush Pandita; Prasanna Balaprakash; Mihai Anitescu; Changjie Sun; Liping Wang (CoRR, 2023)

An Uncertainty-aware Deep Learning Framework-based Robust Design Optimization of Metamaterial Units. - Zihan Wang; Anindya Bhaduri; Hongyi Xu; Liping Wang (CoRR, 2024)

Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data. - Anindya Bhaduri; Nesar Ramachandra; Sandipp Krishnan Ravi; Lele Luan; Piyush Pandita; Prasanna Balaprakash; Mihai Anitescu; Changjie Sun; Liping Wang (J. Comput. Inf. Sci. Eng., 2024)