The 69th JSAP Spring Meeting 2022

Presentation information

Oral presentation

15 Crystal Engineering » 15.7 Crystal characterization, impurities and crystal defects

[26a-E104-1~11] 15.7 Crystal characterization, impurities and crystal defects

Sat. Mar 26, 2022 9:00 AM - 12:00 PM E104 (E104)

Hidetoshi Suzuki(Miyazaki Univ.), Haruo Sudo(GlobalWafers), Yuji Mukaiyama(STR Japan)

9:30 AM - 9:45 AM

[26a-E104-3] Formation energy prediction of large-scale finite-sized extended interstitial defects in Si crystal using an ANN interatomic potential

〇Yusuke Noda1, Masato Ohbitsu2, Tatsuya Yokoi3, Eiji Kamiyama1, Takuto Ushiro2, Hiroki Nagakura2, Koji Sueoka1 (1.Faculty of Computer Science and Systems Engineering, Okayama Pref. Univ., 2.Graduate School of Computer Science and Systems Engineering, Okayama Pref. Univ., 3.Graduate School of Engineering, Nagoya Univ.)

Keywords:silicon, first-principles calculation, interatomic potential

In this study, we systematically evaluated energetic stability of finite-sized extended interstitial defects (EIDs) in silicon crystals using an artificial neural-network (ANN) interatomic potential. We compared formation energies of compact clusters, (311)rod-like defects, and Frank-loop defects, respectively, and then we theoretically revealed that the Frank-loop defects become most stable for the large number of interstitial Si atoms.