Lori Graham-Brady

Lori Graham-Brady

Johns Hopkins University

H-index: 29

North America-United States

About Lori Graham-Brady

Lori Graham-Brady, With an exceptional h-index of 29 and a recent h-index of 19 (since 2020), a distinguished researcher at Johns Hopkins University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Prediction of local elasto-plastic stress and strain fields in a two-phase composite microstructure using a deep convolutional neural network

Materials for extreme environments

Effect of sample size on the maximum value distribution of fatigue driving forces in metals and alloys

Accelerated multiscale mechanics modeling in a deep learning framework

Estimating microstructural feature distributions from image data using a Bayesian framework

The spatial averaging method for non-homogeneous random fields with application to reliability analysis

Artificial intelligence for materials research at extremes

Machine learning in heterogeneous porous materials

Lori Graham-Brady Information

University

Position

___

Citations(all)

2777

Citations(since 2020)

1140

Cited By

2005

hIndex(all)

29

hIndex(since 2020)

19

i10Index(all)

60

i10Index(since 2020)

37

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Top articles of Lori Graham-Brady

Title

Journal

Author(s)

Publication Date

Prediction of local elasto-plastic stress and strain fields in a two-phase composite microstructure using a deep convolutional neural network

Computer Methods in Applied Mechanics and Engineering

Indrashish Saha

Ashwini Gupta

Lori Graham-Brady

2024/3/1

Materials for extreme environments

Suhas Eswarappa Prameela

Tresa M Pollock

Dierk Raabe

Marc André Meyers

Assel Aitkaliyeva

...

2023/2

Effect of sample size on the maximum value distribution of fatigue driving forces in metals and alloys

International Journal of Fatigue

Mohammadreza Yaghoobi

Krzysztof S Stopka

David L McDowell

Lori Graham-Brady

Kirubel Teferra

2023/11/1

Accelerated multiscale mechanics modeling in a deep learning framework

Mechanics of Materials

Ashwini Gupta

Anindya Bhaduri

Lori Graham-Brady

2023/9/1

Estimating microstructural feature distributions from image data using a Bayesian framework

Journal of Microscopy

Noah Wade

Lori Graham‐Brady

2023/6

The spatial averaging method for non-homogeneous random fields with application to reliability analysis

Engineering Structures

Sebastian Geyer

Iason Papaioannou

Lori Graham-Brady

Daniel Straub

2022/2/15

Artificial intelligence for materials research at extremes

B Maruyama

J Hattrick-Simpers

W Musinski

L Graham-Brady

K Li

...

2022/11

Machine learning in heterogeneous porous materials

arXiv preprint arXiv:2202.04137

Marta D'Elia

Hang Deng

Cedric Fraces

Krishna Garikipati

Lori Graham-Brady

...

2022/2/4

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

Composites Part B: Engineering

Anindya Bhaduri

Ashwini Gupta

Lori Graham-Brady

2022/6/1

Fragmentation and granular transition of ceramics for high rate loading

Journal of the American Ceramic Society

Amartya Bhattacharjee

Ryan C Hurley

Lori Graham‐Brady

2022/5

Models for the behavior of boron carbide in extreme dynamic environments

Journal of the American Ceramic Society

KT Ramesh

Lori Graham‐Brady

William A Goddard

Ryan C Hurley

Mark Robbins

...

2022/5

Microstructure reconstruction using a transfer learning approach and structure-property studies with applications to porous materials

Ashwini Guptaa

Anindya Bhaduria

Lori Graham-Bradya

2021/6/12

Failure modeling and sensitivity analysis of ceramics under impact

Journal of Applied Mechanics

Amartya Bhattacharjee

Anindya Bhaduri

Ryan C Hurley

Lori Graham-Brady

2021/5/1

Bayesian neural networks for uncertainty quantification in data-driven materials modeling

Computer methods in applied mechanics and engineering

Audrey Olivier

Michael D Shields

Lori Graham-Brady

2021/12/1

An efficient optimization based microstructure reconstruction approach with multiple loss functions

Computational Materials Science

Anindya Bhaduri

Ashwini Gupta

Audrey Olivier

Lori Graham-Brady

2021/11/1

Probabilistic modeling of discrete structural response with application to composite plate penetration models

Journal of Engineering Mechanics

Anindya Bhaduri

Christopher S Meyer

John W Gillespie Jr

Bazle Z“Gama” Haque

Michael D Shields

...

2021/11/1

On the usefulness of gradient information in surrogate modeling: Application to uncertainty propagation in composite material models

Probabilistic Engineering Mechanics

Anindya Bhaduri

David Brandyberry

Michael D Shields

Philippe Geubelle

Lori Graham-Brady

2020/4/1

Free energy calculation using space filled design and weighted reconstruction: a modified single sweep approach

Molecular Simulation

Anindya Bhaduri

Jasmine Gardner

Cameron F Abrams

Lori Graham-Brady

2020/2/11

A Framework for Quantifying Effects of Characterization Error on the Predicted Local Elastic Response in Polycrystalline Materials

Integrated Computational Materials Engineering (ICME) Advancing Computational and Experimental Methods

Noah Wade

Michael D Uchic

Amanda Criner

Lori Graham-Brady

2020

An integrative model for the dynamic behavior of brittle materials based on microcracking and breakage mechanics

Journal of Dynamic Behavior of Materials

MB Cil

Q Zeng

RC Hurley

L Graham-Brady

2020/12

See List of Professors in Lori Graham-Brady University(Johns Hopkins University)

Co-Authors

H-index: 62
Benjamin Schafer

Benjamin Schafer

Johns Hopkins University

H-index: 22
Sarah C. Baxter

Sarah C. Baxter

University of St. Thomas

H-index: 6
M. Mahdi Roozbahani

M. Mahdi Roozbahani

Georgia Institute of Technology

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