首页|Reports from Shanghai University Describe Recent Advances in Artificial Intellig ence (Rapid estimation of g’ solvus temperature for composition design of Ni-bas ed superalloy via physics-informed generative artificial intelligence)

Reports from Shanghai University Describe Recent Advances in Artificial Intellig ence (Rapid estimation of g’ solvus temperature for composition design of Ni-bas ed superalloy via physics-informed generative artificial intelligence)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “The exceptional high-temp erature mechanical properties of Ni-based superalloys are mainly stemmed from th e L12 g’ phase, therefore it is crucial to discover Ni-based superalloys with hi gh g’ solvus temperatures.”

Shanghai UniversityShanghaiPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.10)