首页|Data from University of Michigan - Shanghai Jiao Tong University Joint Institute Provide New Insights into Machine Learning (Highthroughput calculations combin ing machine learning to investigate the corrosion properties of binary Mg alloys )
Data from University of Michigan - Shanghai Jiao Tong University Joint Institute Provide New Insights into Machine Learning (Highthroughput calculations combin ing machine learning to investigate the corrosion properties of binary Mg alloys )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Magnesium (Mg) alloys have shown great prospects as both structural and biomedical materials, while poor corrosi on resistance limits their further application.” Our news reporters obtained a quote from the research from University of Michiga n - Shanghai Jiao Tong University Joint Institute: “In this work, to avoid the t ime-consuming and laborious experiment trial, a high-throughput computational st rategy based on first-principles calculations is designed for screening corrosio n-resistant binary Mg alloy with intermetallics, from both the thermodynamic and kinetic perspectives. The stable binary Mg intermetallics with low equilibrium potential difference with respect to the Mg matrix are firstly identified. Then, the hydrogen adsorption energies on the surfaces of these Mg intermetallics are calculated, and the corrosion exchange current density is further calculated by a hydrogen evolution reaction (HER) kinetic model. Several intermetallics, e.g. Y3Mg, Y2Mg and La5Mg, are identified to be promising intermetallics which might effectively hinder the cathodic HER. Furthermore, machine learning (ML) models are developed to predict Mg intermetallics with proper hydrogen adsorption energ y employing work function (Wf) and weighted first ionization energy (WFIE).”
University of Michigan - Shanghai Jiao T ong University Joint InstituteShanghaiPeople’s Republic of ChinaAsiaAllo ysCyborgsEmerging TechnologiesMachine Learning
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