Current Issue

NEW GLASS Vol.39 No.2 2024 (Serial No.142)

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Foreword

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Motoharu Matsumoto

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Feature Articles: Glass research using computational science

1) Machine learning for glasses ------- p.3

Yomei Tokuda

2) Extrapolation Prediction of Properties of Sol-Gel Anti-Reflection Coating with Various Silicon Alkoxides as Precursors by Machine Learning ------- p.8

Takuma Kurakami

3) Structural analysis of high-density silica glass by machine learning molecular dynamics simulation ------- p.13

Keita Kobayashi

4) First principles study of crystalline boron oxides ------- p.18

Koichiro Umemoto

5) Predicting viscosity of glass melts using neural networks ------- p.22

Toru Sugawara

6) Development of Digital Twin Technology for Glass Melting Process ------- p.28

Taiga Seki

7) HeatOx (O2 & NG preheating） and Hydrogen for glass melting: Simulation and Industrial Trial ------- p.32

Chikashi Kimura

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New Glass Graduate School Lecture

Machine Learning Interatomic Potentials ------- p.36

Motoki Shiga

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Topics of Meeting on Glass

"1) Let's go to Kumamoto to enjoy foods, drinks, and Annual Meeting 2024 of the Ceramic Society of Japan!" ------- p.43

Shingo Machida

2) Report on 'Annual Meeting 2024 of the Ceramic Society of Japan' ------- p.47

Koji Kawada

3) Report on Glass and Optical Materials Division Annual Meeting 2024 ------- p.52

Shunta Sasaki

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Column

Drawing something from experiences as a member of editorial board of New Glass ------- p.55

Kazuyoshi Kanamori