Lori Graham‐Brady

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All published works

Action	Title	Year	Authors
+ PDF Chat	Physics-Informed Latent Neural Operator for Real-time Predictions of Complex Physical Systems	2025	Sharmila Karumuri Lori Graham‐Brady Somdatta Goswami
+ PDF Chat	Bayesian neural networks for predicting uncertainty in full-field material response	2024	George D. Pasparakis Lori Graham‐Brady Michael D. Shields
+ PDF Chat	Efficient Training of Deep Neural Operator Networks via Randomized Sampling	2024	Sharmila Karumuri Lori Graham‐Brady Somdatta Goswami
+ PDF Chat	Bayesian neural networks for predicting uncertainty in full-field material response	2024	George D. Pasparakis Lori Graham‐Brady Michael D. Shields
+ PDF Chat	Prediction of local elasto-plastic stress and strain fields in a two-phase composite microstructure using a deep convolutional neural network	2024	Indrashish Saha Ashwini Gupta Lori Graham‐Brady
+ PDF Chat	Accelerated multiscale mechanics modeling in a deep learning framework	2023	Ashwini Gupta Anindya Bhaduri Lori Graham‐Brady
+	Prediction of local elasto-plastic stress and strain fields in a two-phase composite microstructure using a deep convolutional neural network	2023	Indrashish Saha Ashwini Gupta Lori Graham‐Brady
+ PDF Chat	Stress field prediction in fiber-reinforced composite materials using a deep learning approach	2022	Anindya Bhaduri Ashwini Gupta Lori Graham‐Brady
+ PDF Chat	Fragmentation and granular transition of ceramics for high rate loading	2022	Amartya Bhattacharjee Ryan Hurley Lori Graham‐Brady
+	Machine Learning in Heterogeneous Porous Materials	2022	Marta D’Elia Hang Deng Cedric G. Fraces Krishna Garikipati Lori Graham‐Brady Amanda A. Howard George Em Karniadakis Vahid Keshavarzzadeh Robert M. Kirby Nathan Kutz
+	Accelerated multiscale mechanics modeling in a deep learning framework	2022	Ashwini Kumar Gupta Anindya Bhaduri Lori Graham‐Brady
+ PDF Chat	Probabilistic Modeling of Discrete Structural Response with Application to Composite Plate Penetration Models	2021	Anindya Bhaduri Christopher S. Meyer John W. Gillespie Bazle Z. Haque Michael D. Shields Lori Graham‐Brady
+ PDF Chat	An efficient optimization based microstructure reconstruction approach with multiple loss functions	2021	Anindya Bhaduri Ashwini Gupta Audrey Olivier Lori Graham‐Brady
+	Stress field prediction in fiber-reinforced composite materials using a deep learning approach	2021	Anindya Bhaduri Ashwini Kumar Gupta Lori Graham‐Brady
+	An efficient optimization based microstructure reconstruction approach with multiple loss functions	2021	Anindya Bhaduri Ashwini Kumar Gupta Audrey Olivier Lori Graham‐Brady
+	Probabilistic modeling of discrete structural response with application to composite plate penetration models	2020	Anindya Bhaduri Christopher S. Meyer John W. Gillespie Bazle Z. Haque Michael D. Shields Lori Graham‐Brady
+ PDF Chat	Constitutive Model for Brittle Granular Materials Considering Competition between Breakage and Dilation	2019	Mehmet B. Cil Ryan Hurley Lori Graham‐Brady
+	A constitutive model for brittle granular materials considering the competition between breakage and dilation	2019	Mehmet B. Cil Ryan Hurley Lori Graham‐Brady
+ PDF Chat	Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis	2018	Anindya Bhaduri Yanyan He Michael D. Shields Lori Graham‐Brady Robert M. Kirby
+ PDF Chat	An efficient adaptive sparse grid collocation method through derivative estimation	2017	Anindya Bhaduri Lori Graham‐Brady
+	An efficient adaptive sparse grid collocation method through derivative estimation	2017	Anindya Bhaduri Lori Graham‐Brady
+	An efficient adaptive sparse grid collocation method through derivative estimation	2017	Anindya Bhaduri Lori Graham‐Brady

Common Coauthors

Coauthor	Papers Together
Anindya Bhaduri	12
Michael D. Shields	5
Ashwini Gupta	5
Ashwini Kumar Gupta	3
Ryan Hurley	3
Audrey Olivier	2
Indrashish Saha	2
Christopher S. Meyer	2
Anisul Haque	2
Mehmet B. Cil	2
Somdatta Goswami	2
John W. Gillespie	2
Sharmila Karumuri	2
Amanda A. Howard	1
Daniel M. Tartakovsky	1
Pania Newell	1
Alexandre M. Tartakovsky	1
Piotr Zarzycki	1
Daniel O’Malley	1
Hari Viswanathan	1
Robert M. Kirby	1
Božo Važić	1
Hongkyu Yoon	1
George D. Pasparakis	1
Xing Liu	1
Chunhui Li	1
Hang Deng	1
Vahid Keshavarzzadeh	1
Robert M. Kirby	1
Amartya Bhattacharjee	1
Yanyan He	1
George Em Karniadakis	1
George D. Pasparakis	1
Hannah Lu	1
Nathan Kutz	1
Krishna Garikipati	1
Maša Prodanović	1
Marta D’Elia	1
Cedric G. Fraces	1
Hamdi A. Tchelepi	1
G. Srinivasan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis	2018	Anindya Bhaduri Yanyan He Michael D. Shields Lori Graham‐Brady Robert M. Kirby	4
+ PDF Chat	An efficient optimization based microstructure reconstruction approach with multiple loss functions	2021	Anindya Bhaduri Ashwini Gupta Audrey Olivier Lori Graham‐Brady	3
+ PDF Chat	Probabilistic Modeling of Discrete Structural Response with Application to Composite Plate Penetration Models	2021	Anindya Bhaduri Christopher S. Meyer John W. Gillespie Bazle Z. Haque Michael D. Shields Lori Graham‐Brady	3
+ PDF Chat	Stress field prediction in fiber-reinforced composite materials using a deep learning approach	2022	Anindya Bhaduri Ashwini Gupta Lori Graham‐Brady	3
+	A deep learning framework for solution and discovery in solid mechanics	2020	Ehsan Haghighat Maziar Raissi Adrian Moure Héctor Gómez Rubén Juanes	3
+ PDF Chat	Exploring the microstructure manifold: Image texture representations applied to ultrahigh carbon steel microstructures	2017	Brian DeCost Toby Francis Elizabeth A. Holm	2
+ PDF Chat	Accelerated multiscale mechanics modeling in a deep learning framework	2023	Ashwini Gupta Anindya Bhaduri Lori Graham‐Brady	2
+ PDF Chat	Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization	2020	Chengping Rao Yang Liu	2
+ PDF Chat	A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials	2018	Zeliang Liu Cheng Wu M. Koishi	2
+ PDF Chat	A data-driven approach to full-field nonlinear stress distribution and failure pattern prediction in composites using deep learning	2022	Reza Sepasdar Anuj Karpatne Maryam Shakiba	2
+ PDF Chat	Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks	2019	Zhenguo Nie Haoliang Jiang Levent Burak Kara	2
+ PDF Chat	A learning-based multiscale method and its application to inelastic impact problems	2021	Burigede Liu Nikola B. Kovachki Zongyi Li Kamyar Azizzadenesheli Anima Anandkumar Andrew M. Stuart Kaushik Bhattacharya	2
+ PDF Chat	An efficient adaptive sparse grid collocation method through derivative estimation	2017	Anindya Bhaduri Lori Graham‐Brady	2
+	Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks	2020	Yixuan Sun Imad Hanhan Michael D. Sangid Guang Lin	2
+ PDF Chat	Learning the stress-strain fields in digital composites using Fourier neural operator	2022	Meer Mehran Rashid Tanu Pittie Souvik Chakraborty N. M. Anoop Krishnan	2
+	Advances in multidimensional integration	2002	Ronald Cools	2
+	Off-lattice reconstruction of porous media: critical evaluation, geometrical confinement and molecular transport	1998	Pierre Levitz	1
+ PDF Chat	Modeling heterogeneous materials via two-point correlation functions. II. Algorithmic details and applications	2008	Yang Jiao Frank H. Stillinger Salvatore Torquato	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+ PDF Chat	Multi-column deep neural networks for image classification	2012	Dan Cireşan Ueli Meier Jürgen Schmidhuber	1
+	High-Order Collocation Methods for Differential Equations with Random Inputs	2005	Dongbin Xiu Jan S. Hesthaven	1
+ PDF Chat	A two-dimensional interpolation function for irregularly-spaced data	1968	Donald S. Shepard	1
+ PDF Chat	Transition from damage to fragmentation in collision of solids	1999	Ferenc Kun Hans J. Herrmann	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+ PDF Chat	Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation	2016	Rohit Tripathy Ilias Bilionis Marcial Gonzalez	1
+ PDF Chat	On the Depth of Deep Neural Networks: A Theoretical View	2016	Shizhao Sun Wei Chen Liwei Wang Xiaoguang Liu Tie‐Yan Liu	1
+ PDF Chat	Inferring low-dimensional microstructure representations using convolutional neural networks	2017	Nicholas Lubbers Turab Lookman Kipton Barros	1
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	1
+ PDF Chat	Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification	2018	Yinhao Zhu Nicholas Zabaras	1
+ PDF Chat	Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification	2018	Rohit Tripathy Ilias Bilionis	1
+ PDF Chat	Exploring the 3D architectures of deep material network in data-driven multiscale mechanics	2019	Zeliang Liu Cheng Wu	1
+	A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference	2019	Kumar Shridhar Felix Laumann Marcus Liwicki	1
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	1
+ PDF Chat	Building data-driven models with microstructural images: Generalization and interpretability	2017	Julia Ling Maxwell Hutchinson Erin Antono Brian DeCost Elizabeth A. Holm Bryce Meredig	1
+ PDF Chat	Microstructure Representation and Reconstruction of Heterogeneous Materials Via Deep Belief Network for Computational Material Design	2017	Ruijin Cang Yaopengxiao Xu Shaohua Chen Yongming Liu Yang Jiao Max Yi Ren	1
+ PDF Chat	Monotonic classification: An overview on algorithms, performance measures and data sets	2019	José-Ramón Cano Pedro Antonio Gutiérrez Bartosz Krawczyk Michał Woźniak Salvador García	1
+	The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo	2014	Matthew D. Homan Andrew Gelman	1
+ PDF Chat	Consistent manifold representation for topological data analysis	2019	Tyrus Berry Timothy Sauer	1
+	Texture synthesis using convolutional neural networks	2015	Leon A. Gatys Alexander S. Ecker Matthias Bethge	1
+	On the Validity of Bayesian Neural Networks for Uncertainty Estimation	2019	John Mitros Brian Mac Namee	1
+	B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data	2020	Liu Yang Xuhui Meng George Em Karniadakis	1
+	We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty	2020	Tyler LaBonte Carianne Martinez Scott Alan Roberts	1
+	Prediction of the evolution of the stress field of polycrystals undergoing elastic-plastic deformation with a hybrid neural network model	2020	Ari Frankel Kousuke Tachida Reese E. Jones	1
+	Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty	2020	Miguel Monteiro Loïc Le Folgoc Daniel C. Castro Nick Pawlowski Bernardo Marques Konstantinos Kamnitsas Mark van der Wilk Ben Glocker	1
+ PDF Chat	StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction	2021	Haoliang Jiang Zhenguo Nie Roselyn Yeo Amir Barati Farimani Levent Burak Kara	1
+ PDF Chat	Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users	2022	Laurent Valentin Jospin Hamid Laga Farid Boussaïd Wray Buntine Mohammed Bennamoun	1
+	Notes on the Behavior of MC Dropout	2020	Francesco Verdoja Ville Kyrki	1
+	Machine learning enabled discovery of application dependent design principles for two-dimensional materials	2020	Victor Venturi Holden Parks Zeeshan Ahmad Venkatasubramanian Viswanathan	1
+	Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media	2018	Shaoxing Mo Yinhao Zhu Nicholas Zabaras Xiaoqing Shi Jichun Wu	1
+ PDF Chat	Whence the Expected Free Energy?	2021	Beren Millidge Alexander Tschantz Christopher L. Buckley	1