Publication number: 20210166791
Abstract: An apparatus for constructing a library for deriving a material composition using empirical result, which enables acceleration of research on the material-properties relationship. By applying the empirical results of the material composition, missing data of the material compositions can be statistically calculated by using supervised non-linear imputation techniques. The completed composition information of the materials is passed as an input of machine learning material-properties relationship prediction.
Type:
Application
Filed:
December 18, 2019
Publication date:
June 3, 2021
Inventors:
Seung Bum HONG, Eun Ae CHO, Jong Min YUK, Hye Ryung BYON, Yong Soo YANG, Pyuck Pa CHOI, Jong Hwa SHIN, Hyuck Mo LEE, CHI HAO LIOW, Seong Woo CHO, Gun PARK, Yong Ju LEE, Yoon Su SHIM, Moo Ny NA, Ho Sun JUN, Ki Hoon BANG, Myung Joon KIM, Chae Hwa JEONG, Seung Gu KIM, Chung Ik OH, Hong Jun KIM, Jae Gyu KIM, Ji Min OH, Ji Won YEOM, Seong Mun EOM, Hyoung Kyu KIM, Young Joon HAN, Dae Hee LEE, Ho Jun LEE, Jae Woon KIM, Jae Wook SHIN, Hyeon Muk KANG, Jae Yeol PARK, Han Beom JEONG, Jae Sang LEE, Joon Ha CHANG, Yo Han KIM, Su Jung KIM, Hyun Jeong OH, Arthur Baucour, Jae Wook HAN, Kyu Seon JANG, Hye Sung JO, Bo Ryung YOO, Hyeon Jin PARK, Min Gwan CHO, Jun Hyung PARK, Yea Eun KIM, Seok Hwan MIN, Jung Woo CHOI, Young Tae PARK, Doo Sun HONG