Predicting the Number of Grains Contributing to 2-D XRD Patterns of Ti-6Al-4V Using Deep Neural Networks Trained by Ab-Initio XRD Simulations

When and Where

Dec 1, 2023
9:45am - 10:00am

Hynes, Level 2, Room 205

Presenter(s)

Mohommad Redad Mehdi

Weiqi Yue

Ethan Fang

Pawan Tripathi

Matthew Willard

Vipin Chaudhary

Daniel Savage

Donald Brown

Roger French

Frank Ernst

Co-Author(s)

Mohommad Redad Mehdi^1,2,Weiqi Yue^1,2,Ethan Fang^1,2,Pawan Tripathi^1,2,Matthew Willard^1,2,Vipin Chaudhary^1,2,Daniel Savage³,Donald Brown³,Roger French^1,2,Frank Ernst^1,2

Case Western Reserve University¹,Materials Data Science for Stockpile Stewardship: Center of Excellence²,Los Alamos National Laboratory³

Keywords

x-ray diffraction (XRD)

Symposium Organizers

Steven Spurgeon, National Renewable Energy Laboratory

Daniela Ushizima, Lawrence Berkeley National Laboratory

Yongtao Liu, Oak Ridge National Laboratory

Yunseok Kim, Sungkyunkwan University

Symposium Support

Bronze
Park Sysems Corp.

Session Chairs

Yijin Liu

Yongtao Liu

Daniela Ushizima

Symposium Supporters

2023 MRS Fall Meeting & Exhibit