A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...
The use of artificial intelligence has enabled researchers at the National Laboratory of the Rockies (NLR) to gain a greater understanding of two-dimensional (2D) materials that can be useful for ...
Recently, a research team led by Prof. CHEN Tao from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) revealed the formation and evolution of the point ...
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AI-based model measures atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during ...
A new hybrid layered perovskite featuring elusive spontaneous defect ordering has been found, report scientists. By introducing specific concentrations of thiocyanate ions into FAPbI3 (FA = ...
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