Lori Graham-Brady

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelastic Materials.
CoRR
Purna Vindhya Kota, Meer Mehran Rashid, Somdatta Goswami, Lori Graham-Brady
2026 J jnl
Physics-constrained Gaussian Processes for Predicting Shockwave Hugoniot Curves.
CoRR
George D. Pasparakis, Himanshu Sharma, Rushik Desai, Chunyu Li, Alejandro Strachan, Lori Graham-Brady, Michael D. Shields
2025 J jnl
Efficient Training of Deep Neural Operator Networks via Randomized Sampling.
World Sci. Annu. Rev. Artif. Intell.
Sharmila Karumuri, Lori Graham-Brady, Somdatta Goswami
2025 J jnl
Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs.
CoRR
Ishan Khurjekar, Indrashish Saha, Lori Graham-Brady, Somdatta Goswami
2025 J jnl
Physics-Informed Latent Neural Operator for Real-time Predictions of Complex Physical Systems.
CoRR
Sharmila Karumuri, Lori Graham-Brady, Somdatta Goswami
2025 J jnl
Review of the concept of variability response function and its application in stochastic systems.
Reliab. Eng. Syst. Saf.
George Deodatis, Sanjay Arwade, Lori Graham-Brady, Kirubel Teferra
2024 J jnl
Bayesian neural networks for predicting uncertainty in full-field material response.
CoRR
George D. Pasparakis, Lori Graham-Brady, Michael D. Shields
2024 J jnl
Efficient Training of Deep Neural Operator Networks via Randomized Sampling.
CoRR
Sharmila Karumuri, Lori Graham-Brady, Somdatta Goswami
2022 J jnl
Machine Learning in Heterogeneous Porous Materials.
CoRR
Marta D'Elia, Hang Deng, Cedric G. Fraces, Krishna C. Garikipati, Lori Graham-Brady, Amanda A. Howard, George Em Karniadakis, Vahid Keshavarzzadeh, Robert M. Kirby, J. Nathan Kutz, Chunhui Li, Xing Liu, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki
2021 J jnl
An efficient optimization based microstructure reconstruction approach with multiple loss functions.
CoRR
Anindya Bhaduri, Ashwini Gupta, Audrey Olivier, Lori Graham-Brady
2021 J jnl
Stress field prediction in fiber-reinforced composite materials using a deep learning approach.
CoRR
Anindya Bhaduri, Ashwini Gupta, Lori Graham-Brady
2018 J jnl
Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis.
J. Comput. Phys.
Anindya Bhaduri, Yanyan He, Michael D. Shields, Lori Graham-Brady, Robert M. Kirby