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AI-Driven Discovery: Mysteries of Polycrystalline Materials Unraveled

Scientists at Nagoya University in Japan have used artificial intelligence to discover a new method for understanding small defects called dislocations in polycrystalline materials, materials widely used in information equipment, solar cells, and electronic devices, that can reduce the efficiency of

Nagoya , Aichi , Japan , Hiroyuki-tanaka , Yutaka-ohno , Kenta-yamakoshi , Hideto-yoshida , Noritaka-usami , Tatsuya-yokoi , Kentaro-kutsukake , Takuto-kojima , Xin-liu

AI predicts crystal orientation to improve manufacturing of electronic devices

A team led by Nagoya University researchers in Japan has successfully predicted crystal orientation by teaching an artificial intelligence (AI) using optical photographs of polycrystalline materials.

Nagoya , Aichi , Japan , Takuto-kojima , Noritaka-usami , Hiroaki-kudo , School-of-informatics , Ya-nagoya-university , Nagoya-university , School-of-engineering , Professor-noritaka-usami , Professor-usami

New Crystal Grain Orientations Predicted by the AI-Based Technique

Under the guidance of Nagoya University in Japan, a research group has been successful in anticipating crystal orientation by teaching artificial intelligence (AI) utilizing optical photographs of polycrystalline materials.

Nagoya , Aichi , Japan , Noritaka-usami , Takuto-kojima , Skyla-baily , Hiroaki-kudo , School-of-engineering , Ya-nagoya-university , School-of-informatics , Nagoya-university , Crystal-grain-orientations-predicted

AI-based technique for predicting crystal orientation improves efficiency of manufacturing electronic devices

AI-based technique for predicting crystal orientation improves efficiency of manufacturing electronic devices
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Nagoya , Aichi , Japan , Hiroaki-kudo , Takuto-kojima , Kyoka-hara , Noritaka-usami , School-of-engineering , School-of-informatics , Ya-nagoya-university , Nagoya-university , Professor-usami