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A research team from Skoltech introduced a new method which takes advantage of machine learning for studying the properties of polycrystals, composites, and multiphase systems.
FIFTEEN students of University of Wollongong (UOW) were blessed with the chance to study at the University of Cambridge as part of UOW’s student mobility programme.
Researchers used artificial intelligence to identify novel 2D transition metal halide materials with large magnetic moments.
Researchers have identified novel van der Waals (vdW) magnets using cutting-edge tools in artificial intelligence (AI). In particular, the team identified transition metal halide vdW materials with large magnetic moments that are predicted to be chemically stable using semi-supervised learning. These two-dimensional (2D) vdW magnets have potential applications in data storage, spintronics, and even quantum computing.
A group of scientists headed by Rensselaer Polytechnic Institute’s Trevor David Rhone, Assistant Professor in the Department of Physics, Applied Physics, and Astronomy, has discovered novel van der Waals (vdW) magnets with the use of advanced tools in artificial intelligence (AI).