Modeling Antiphase Boundary Energies of Ni₃Al-Based Alloys Using Automated Density Functional Theory and Machine Learning

When and Where

Dec 1, 2022
9:30am - 9:45am

Sheraton, 5th Floor, Riverway

Presenter(s)

Enze Chen

Artur Tamm

Tao Wang

Mario Epler

Mark Asta

Timofey Frolov

Co-Author(s)

Enze Chen^1,2,Artur Tamm³,Tao Wang⁴,Mario Epler⁴,Mark Asta^1,2,Timofey Frolov⁵

University of California, Berkeley¹,Lawrence Berkeley National Laboratory²,University of Tartu³,Carpenter Technology Corporation⁴,Lawrence Livermore National Laboratory⁵

Keywords

second phases | strength

Symposium Organizers

Matthew Willard, Case Western Reserve University

Yoshisato Kimura, Tokyo Institute of Technology

Manja Krueger, Otto-von-Guericke University

Akane Suzuki, GE Research

Symposium Support

Silver
GE Research

Session Chairs

Jennifer Carter

Steffen Neumeier

2022 MRS Fall Meeting

Modeling Antiphase Boundary Energies of Ni3Al-Based Alloys Using Automated Density Functional Theory and Machine Learning