首页|Investigators from Nanjing University of Aeronautics and Astronautics Zero in on Machine Learning (Phase-field Simulation and Machine Learning of Low-field Magn eto-elastocaloric Effect In a Multiferroic Composite)
Investigators from Nanjing University of Aeronautics and Astronautics Zero in on Machine Learning (Phase-field Simulation and Machine Learning of Low-field Magn eto-elastocaloric Effect In a Multiferroic Composite)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Nanjing, People’s R epublic of China, by NewsRx correspondents, research stated, “Achievingapprecia ble elastocaloric effect under low external field is critical for solid-state co oling technology.Here, a non -isothermal Phase -Field Model (PFM) coupling mart ensitic transformation with mechanics,heat transfer and magnetostrictive behavi or is proposed to simulate Magneto-elastoCaloric Effect (M-eCE)that is induced by magnetic field in a multiferroic composite (e.g., Magnetostrictive-Shape Memo ry Alloys(MEA-SMA) composite).”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNanjing University of Aeron autics and Astronautics
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