Inverse Design of BaTiO₃'s Synthetic Condition via Machine Learning

When and Where

Nov 29, 2022
8:00pm - 10:00pm

Hynes, Level 1, Hall A

Presenter(s)

Minjeong Gong

Dong-Hwa Seo

Young Seog Yoon

Hyun-woo Oh

Suyoung Chi

Seong Hyeok Choi

HyeonJin Jeong

Moonhee Choi

Sung Beom Cho

Co-Author(s)

Minjeong Gong¹,Dong-Hwa Seo¹,Young Seog Yoon²,Hyun-woo Oh²,Suyoung Chi²,Seong Hyeok Choi³,HyeonJin Jeong³,Moonhee Choi³,Sung Beom Cho³

Ulsan National Institute of Science and Technology¹,Electronics and Telecommunications Research Institute²,Korea Institute of Ceramic Engineering & Technology³

Keywords

ceramic

Symposium Organizers

Arun Kumar Mannodi-Kanakkithodi, Purdue University

Sijia Dong, Northeastern University

Noah Paulson, Argonne National Laboratory

Logan Ward, University of Chicago

Symposium Support

Silver
Energy Material Advances, a Science Partner Journal

Bronze
Chemical Science | Royal Society of Chemistry
Patterns, Cell Press

Session Chairs

Arun Kumar Mannodi-Kanakkithodi

Noah Paulson

2022 MRS Fall Meeting

Inverse Design of BaTiO3's Synthetic Condition via Machine Learning