Session Details
[S8]New Materials Science on Nanoscale Structures and Functions of Crystal Defect Cores, V(1)
Wed. Sep 18, 2024 1:00 PM - 4:40 PM JST
Wed. Sep 18, 2024 4:00 AM - 7:40 AM UTC
Wed. Sep 18, 2024 4:00 AM - 7:40 AM UTC
Room F B118 1st floor Building B Center for Education in Liberal Arts and Sciences
座長:清原 慎(東北大学)、FENG Bin(東京大学)
※表示の講演時間には質疑応答時間も含みます。
(質疑応答時間5分、基調講演と招待講演は5~10分)
[S8.5][Keynote Lecture] High speed atomic-resolution STEM imaging for in-situ observations
*Ryo ISHIKAWA1 (1. The University of Tokyo)
[S8.6]In situ biasing DPC STEM observation of electric field in a p-n junction depletion layer
*Yoshifumi KOJIMA1, Satoko Toyama1, Takehito Seki1,2, Yuichi Ikuhara1,3, Naoya Shibata1,3 (1. UTokyo, 2. JST PRESTO, 3. JFCC)
[S8.7]Interface Control of unmodified-LiCoO2/Li10GeP2S12-xOx Cathode Composite for All Solid-State Batteries
*Yuqi Wang1, Satoshi Oshima, Kenta Watanabe1, Naoki Matsui2, Kota Suzuki2, Ryoji Kanno2, Masaaki Hirayama1,2 (1. School of Materials and Chemical Technology, Tokyo Institute of Technology, 2. Institute of Innovative Research, Tokyo Institute of Technology)
[S8.8]Tip-enhanced Raman spectroscopy study on rutile TiO2(110)–(1×2) surface
*Kyungmin KIM1,2, Daiki KATSUBE3, Youngwook PARK2, Martin WOLF2, Masayuki ABE1, Akitoshi SHIOTARI2 (1. Osaka University, 2. Fritz Haber Institute, 3. Japan Fine Ceramics Center)
[S8.9]Study of photostability of gold nanoparticles supported on photocatalytic TiO2 using atomic force microscopy
*Ryoutarou Tani1, Hayato Yamashita1, Masayuki Abe1 (1. Grad. Sch. Eng. Sci., Osaka Univ.)
break
[S8.10]Development of methods for prediction and analysis of structure and properties of lattice defects using materials informatics
*Shin Kiyohara1 (1. Institute of Materials Research, Tohoku University)
[S8.11]Exploration of Crystal Structure of CuGaI4 via First-Principles Calculations of Prototype Structures
*Hidenobu MURATA1,2, Naoomi YAMADA3 (1. JFCC, 2. Osaka Metro. Univ., 3. Chubu Univ.)
[S8.12]Stochastic self-consistent harmonic approximation using polynomial machine learning potentials
*Takuya NARUSE1, Atsuto SEKO1, Atsushi TOGO2, Isao TANAKA1 (1. Kyoto Univ., 2. NIMS)
[S8.13]Machine-learning interatomic potential for predicting atomic structure of grain boundary segregation in α-Al2O3
*Tatsuya YOKOI1, Yu Ogura1, Katsuyuki Matsunaga1,2 (1. 名大工、2. JFCC)
[S8.14]Chemically-Relevant Composition Predictions with Embedding Vector Techniques in Pseudo-Ternary Oxides
*Hiroyuki HAYASHI1, Isao TANAKA1,2 (1. Kyoto Univ., 2. JFCC)
