Thin film devices, composed of layers of materials a few nanometers thick, play an important role in various technologies, ...
Dendritic structures that emerge during the growth of thin films are a major obstacle in large-area fabrication, a key step towards commercialization. However, current methods of studying dendrites ...
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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 ...
The PCA enabled the team to quantify the structural changes in dendrites and correlate these changes with Gibbs free energy. This relationship revealed the specific conditions and mechanisms that ...
In reactive sputtering process with an Ar + O₂ gas mixture, the plasma emission observed near the cathode changes in appearance. When the oxygen content is high, the plasma exhibits a reddish-violet ...
Researchers have developed a new AI model that predicts dendritic growth in thin films, helping optimize thin-film growth processes. Thin films are grown by depositing tiny layers of materials onto a ...
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