Groundbreaking research led by Professor Motoki Shiga has unraveled the complex atomic structure of glass, revealing its unique patterns and anisotropy. This research paves the way for advanced exploration of glass materials using AI and machine learning techniques.Credit: Motoki Shiga
Glass is an essential material in our daily life and serves a variety of purposes, such as insulating our homes and forming the screens of our computers and smartphones. However, its widespread historical use stands in contrast to the scientific mystery posed by its disordered atomic structure. This puzzling arrangement of atoms complicates efforts to fully understand and manipulate the structural properties of glasses. Therefore, designing effective functional materials from glass remains a difficult challenge for scientists.
Advances in glass research
To further elucidate the structural regularities hidden in glassy materials, the research group focused on the ring shape of the chemically bonded glass network. A research group including Professor Motoki Shiga of Tohoku University’s unprecedented scale data analysis center has developed a new method to quantify the three-dimensional structure of the ring and the symmetry of the structure, “roundness” and “roughness.”
Spatial atomic density around rings of silica crystal (left) and glass (right). Blue and red regions indicate areas with high density of silicon and oxygen atoms, respectively.Credit: Motoki Shiga et al.
Breakthroughs and future directions
“Structural units and structural order beyond chemical bonds have long been inferred through experimental observations, but until now scientists have avoided identifying them,” Professor Shiga says. “Furthermore, our successful analysis contributes to the understanding of phase transitions such as vitrification and crystallization in materials and provides the necessary mathematical explanations to control the structure and material properties of materials.”
Looking to the future, Shiga and his colleagues plan to use these techniques to devise procedures for exploring glass materials, procedures based on data-driven approaches such as: machine learning And AI.
Reference: “Ring-derived anisotropy of local structural order in amorphous and crystalline silicon dioxide” by Motoki Shiga, Akihiko Hirata, Yohei Onodera, and Hirokazu Masai, November 3, 2023. Communication materials.
DOI: 10.1038/s43246-023-00416-w
Source: scitechdaily.com
