首页|New Machine Learning Data Have Been Reported by Researchers at Idaho National Laboratory (Machine Learning Potential Assisted Exploration of Complex Defect Potential Energy Surfaces)
New Machine Learning Data Have Been Reported by Researchers at Idaho National Laboratory (Machine Learning Potential Assisted Exploration of Complex Defect Potential Energy Surfaces)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are presented in a new report. According to news originating from Idaho Falls, Idaho, by NewsRx correspondents, research stated, “Atomic-scale defects generated in materials under both equilibrium and irradiation conditions can significantly impact their physical and mechanical properties. Unraveling the energetically most favorable ground-state configurations of these defects is an important step towards the fundamental understanding of their influence on the performance of materials ranging from photovoltaics to advanced nuclear fuels.” Funders for this research include DOE | SC | Basic Energy Sciences, DOE | LDRD | Idaho National Laboratory.
Idaho FallsIdahoUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningIdaho National Laboratory
NETL
NSTL
