首页|Investigators from Technical University Darmstadt (TU Darmstadt) Target Machine Learning (General Purpose Potential for Glassy and Crystalline Phases of Cu-zr A lloys Based On the Ace Formalism)
Investigators from Technical University Darmstadt (TU Darmstadt) Target Machine Learning (General Purpose Potential for Glassy and Crystalline Phases of Cu-zr A lloys Based On the Ace Formalism)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating from Darmstadt, German y, by NewsRx correspondents, research stated, “A general purpose machine -learni ng interatomic potential (MLIP) for the Cu-Zr system is presented based on the a tomic cluster expansion formalism [R. Drautz, Phys. Rev. B 99 , 014104 (2019)].” Funders for this research include German Research Foundation (DFG), German Resea rch Foundation (DFG). Our news editors obtained a quote from the research from Technical University Da rmstadt (TU Darmstadt), “By using an extensive set of Cu-Zr training data genera ted withdensity functional theory, this potential describes a wide range of prop erties of crystalline as well as amorphous phases within the whole compositional range. Therefore, the machine learning interatomic potential (MLIP) can reprodu ce the experimental phase diagram and amorphous structure with considerably impr oved accuracy. A massively different short-range order compared to classica inte ratomic potentials is found in glassy Cu-Zr samples, shedding light on the role of the full icosahedral motif in the material.”
DarmstadtGermanyEuropeCyborgsEme rging TechnologiesMachine LearningTechnical University Darmstadt (TU Darmsta dt)
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