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Showing results 1 to 12 of 12

1
Ab initio materials design using conformational space annealing and its applications to optical materials

Lee, In Ho; Oh, Young Jun; Kim, Sunghyun; Lee, Jooyoung; Chang, Kee Joo, NANO KOREA 2016 Symposium, 나노코리아 조직위원회, 2016-07

2
Computational design of direct band gap carbon superlattices with efficient optical transition

Kim, Sunghyun; Oh, Young Jun; Lee, In Ho; Lee, Jooyoung; Chang, Kee Joo, The 19th Asian Workshop on First-Principles Electronic Structure Calculations, National Chiao Tung University, 2016-11

3
Computational design of direct band gap Si superlattice

Kim, Sung Hyun; Oh, Young Jun; Lee, In Ho; Lee, Joo Young; Chang, Kee Joo, The 18th Asian Workshop on First-Principles Electronic Structure Calculations, ISSP, 2015-11

4
Computational Design of Silicon Allotropes with Direct Band Gaps

Kim, Sung Hyun; Oh, Young Jun; Lee, In Ho; Lee, Joo Young; Chang, Kee Joo, The 3rd International Conference on Advanced Electromaterials, ICAE, 2015-11

5
Computational discovery of direct band gap silicon superlattices with efficient optical transition 

Kim, Sunghyun; Oh, Young Jun; Lee, In Ho; Lee, Jooyoung; Chang, Kee Joo, 33rd International Conference on the Physics of Semiconductors, Peking University, 2016-08

6
Computational search for dipole‐allowed direct band gap silicon allotropes based on global optimization

Kim, Sunghyun; Oh, Young Jun; Lee, In Ho; Lee, Jooyoung; Chang, Kee Joo, The 18th International Symposium on the Physics of Semiconductors and Applications, 한국물리학회, 2016-07

7
Computational search for direct band gap carbon allotropes with efficient optical transition

Oh, Young Jun; Kim, Sunghyun; Lee, In Ho; Lee, Joo Young; Chang, Kee Joo, 2016 봄학술논문발표회 및 제92회 정기총회, 한국물리학회, 2016-04

8
Conformational space annealing scheme in the inverse design of functional materials

Kim, Sung Hyun; Lee, In Ho; Lee, Joo Young; Oh, Young Jun; Chang, Kee Joo, 2015 APS March Meeting, APS, 2015-03

9
Direct band gap silicon crystals predicted by an inverse design method

Oh, Young Jun; Lee, In Ho; Lee, Joo Young; Kim, Sung Hyun; Chang, Kee Joo, 2015 APS March Meeting, APS, 2015-03

10
Generation of the neural network potential of elemental boron from machine learning

Lee, In Ho; Han, Woo Hyun; Chang, Kee Joo, 2016 가을 학술논문발표회, 한국물리학회, 2016-10

11
High-Dimensional Artificial Neural Network Potentials for Elemental Boron

Han, Woo Hyun; Lee, In Ho; Chang, Kee Joo, The 19th Asian Workshop on First-Principles Electronic Structure Calculations, National Chiao Tung University, 2016-11

12
Prediction of direct band gap silicon superlattices with dipole-allowed optical transition

Kim, Sunghyun; Oh, Young Jun; Lee, In Ho; Lee, Jooyoung; Chang, Kee Joo, APS March Meeting 2016, American Physics Society, 2016-03

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