首页|New Findings from Shanghai Jiao Tong University Update Understanding of Machine Learning (Understanding Microstructureproperty Relationships of Hpdc Al-si Allo y Based On Machine Learning and Crystal Plasticity Simulation)
New Findings from Shanghai Jiao Tong University Update Understanding of Machine Learning (Understanding Microstructureproperty Relationships of Hpdc Al-si Allo y Based On Machine Learning and Crystal Plasticity Simulation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating in Shangh ai, People’s Republic of China, by NewsRx journalists, researchstated, “Al-Si a lloys manufactured via high-pressure die casting (HPDC) are suitable for a wide rangeof applications. However, the heterogeneous microstructure and unpredictab le pore distribution of Al-Sihigh-pressure die castings result in significant v ariations in the mechanical properties, thus leading to acomplicated microstruc ture-property relationship that is difficult to capture.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesGaussian ProcessesMachine LearningShangh ai Jiao Tong University
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