首页|Findings in the Area of Machine Learning Reported from Beijing University of Che mical Technology (Physics-informed Machine Learning Approach for Molten Pool Mor phology Prediction and Process Evaluation In Directed Energy Deposition of 12crn i2 ...)
Findings in the Area of Machine Learning Reported from Beijing University of Che mical Technology (Physics-informed Machine Learning Approach for Molten Pool Mor phology Prediction and Process Evaluation In Directed Energy Deposition of 12crn i2 ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating in Beijing, People's R epublic of China, by NewsRx journalists, research stated, "The advancement of ma chine learning (ML) provides possibilities for in-situ monitoring and feedback c ontrol during directed energy deposition (DED) additive manufacturing (AM) proce ss. However, obtaining sufficient and high-quality training samples experimental ly is expensive and infeasible." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Key Research and Development Program of Sichuan Province, Na tional Key Research and Development Program of China.
BeijingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningBeijing University of Chemi cal Technology
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