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Machine learning enables real-time analysis of iron oxide thin film growth in reactive magnetron sputtering
Researchers at University of Tsukuba have developed a technology for real-time estimation of the valence state and growth rate of iron oxide thin films during their formation. This novel technology ...
Quasicrystalline materials display long‐range order without periodic repetition, a feature that distinguishes them from conventional crystals. Their surfaces, characterised by unique rotational ...
Researchers at Pacific Northwest National Laboratory (PNNL) have developed a machine learning (ML) system that can detect subtle changes in thin film growth data in real time - faster than human ...
Collaboration between materials scientists and data scientists helps identify patterns in growing thin films. (Nanowerk News) From cell phones to solar panels to quantum computers, thin films are ...
Thin film characterisation and nanostructure analysis encompass a diverse array of techniques designed to elucidate the structural and functional properties of films at the nanometre scale. Advanced ...
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