Lori Graham-Brady

Johns Hopkins University

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (7)

Suhas Eswarappa Prameela

Massachusetts Institute of Technology

UNITED STATES

View details

T. M. Pollock

University of California

UNITED STATES

View details

Audrey Olivier

Assistant Professor

University of Southern California

UNITED STATES

View details

Marc A. Meyers

UNITED STATES

View details

Somdatta Goswami

Assistant Professor (Research)

Brown University

UNITED STATES

View details

Kerri-lee Chintersingh

Assistant Professor

New Jersey Institute of Technology

UNITED STATES

View details

Assel Aitkaliyeva

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Lori Graham-Brady

Research Interests

Explore related searches

Contact this professor

Articles (10)

Batch active learning for microstructure–property relations in energetic materials

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

Efficient Training of Deep Neural Operator Networks via Randomized Sampling

Data-driven prediction of extreme value distributions of finite-length random processes with application to fiber strength statistics

Heteroscedastic Gaussian Process Regression for material structure–property relationship modeling

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

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

Materials for extreme environments

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

Collaborators (7)

Suhas Eswarappa Prameela

T. M. Pollock

Audrey Olivier

Marc A. Meyers

Somdatta Goswami

Kerri-lee Chintersingh

Assel Aitkaliyeva

Make your next move.