首页|Shenyang National Laboratory for Materials Science Reports Findings in Machine L earning (Layer-by-layer phase transformation in Ti3O5 revealed by machine-learni ng molecular dynamics simulations)
Shenyang National Laboratory for Materials Science Reports Findings in Machine L earning (Layer-by-layer phase transformation in Ti3O5 revealed by machine-learni ng molecular dynamics simulations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Shenyang, People’s Repu blic of China, by NewsRx correspondents, research stated,“Reconstructive phase transitions involving breaking and reconstruction of primary chemical bonds areubiquitous and important for many technological applications. In contrast to dis placive phase transitions,the dynamics of reconstructive phase transitions are usually slow due to the large energy barrier.”
ShenyangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysics
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