首页|Recent Findings from Shanghai Jiao Tong University Has Provided New Information about Machine Learning (High Entropy Alloys Amenable for Laser Powder Bed Fusion : athermodynamics Guided Machine Learning Search)
Recent Findings from Shanghai Jiao Tong University Has Provided New Information about Machine Learning (High Entropy Alloys Amenable for Laser Powder Bed Fusion : athermodynamics Guided Machine Learning Search)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning have be en published. According to news originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "Although there is considerabl e research interest in high-entropy alloys (HEAs), only a small fraction of the potential compositional space was explored hitherto. While additive manufacturin g techniques such as the laser powder bed fusion (LPBF) can be gainfully employe d to accelerate discovery of new HEAs with promising properties, the printabilit y of such alloys could restrict such an exploration." Financial supporters for this research include National Key Research & Development Program of China, National Natural Science Foundation of China (NSFC ), Agency for Science Technology & Research (A*STAR), Advanced Mod els for Additive Manufacturing, Instrumental Analysis Center of Shanghai Jiao To ng University and Instrument and equipment sharing platform of School of Materia ls Science and Engineering, SJTU.
ShanghaiPeople's Republic of ChinaAs iaAlloysCyborgsEmerging TechnologiesMachine LearningPhysicsThermodyn amicsShanghai Jiao Tong University
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