Projecting Bond Properties with Machine Learning
New machine learning model can determine characteristics of bonded and adsorbed materials
Articles by Institute of Industrial Science, The University of Tokyo
Scientists Turn Food Waste into Construction Materials
Tokyo-based researchers have developed a new method to reduce food waste by recycling discarded fruit and vegetable scraps into robust construction materials
New Insights into Glass Could Improve Smartphone Screens
Researchers used advanced electron spectroscopy and computer simulations to better understand the internal atomic structure of aluminosilicate glass
A Clearer View of What Makes Glass Rigid
Recent work may lead to new advances in high-strength glass, which can be used for cooking, industrial, and smartphone applications
How Spiraling Circuits Could Mean More Efficient AI
Researchers from Japan have developed a new method that could make artificial intelligence more energy efficient
AI Finds 2D Materials in the Blink of an Eye
Recent research can help shorten the time required for 2D material-based electronics to be ready for consumer devices
Interpretation of Material Spectra Can Be Data-Driven Using Machine Learning
New approach can predict a material's spectrum from geometric information alone