Lori Graham-Brady

According to our database, Lori Graham-Brady authored at least 6 papers between 2018 and 2024.

Collaborative distances:

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

2024

Efficient Training of Deep Neural Operator Networks via Randomized Sampling.

Sharmila Karumuri, Lori Graham-Brady, Somdatta Goswami

CoRR, 2024

Bayesian neural networks for predicting uncertainty in full-field material response.

George D. Pasparakis, Lori Graham-Brady, Michael D. Shields

CoRR, 2024

2022

Machine Learning in Heterogeneous Porous Materials.

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

CoRR, 2022

2021

Stress field prediction in fiber-reinforced composite materials using a deep learning approach.

Anindya Bhaduri, Ashwini Gupta, Lori Graham-Brady

CoRR, 2021

An efficient optimization based microstructure reconstruction approach with multiple loss functions.

Anindya Bhaduri, Ashwini Gupta, Audrey Olivier, Lori Graham-Brady

CoRR, 2021

2018

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