A multi-institutional team has discovered a way to create new alloys that could form the basis of next-generation semiconductors. A multi-institutional team led by the U.S. Department of Energy's ...
MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.
Researchers at IMDEA Materials Institute have developed a new hybrid methodology that combines quantum mechanics and thermodynamic calculations to predict the phase diagram of nickel-cobalt alloys.
MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...
Members of ETH Zurich can access the external page Alloy Phase Diagram Database by ASM International for their studies and research. The database contains phase diagrams of more than 40,300 binary and ...
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