首页|New Machine Learning Study Findings Have Been Reported by Researchers at Brandei s University (A Machine Learning Approach To Robustly Determine Director Fields and Analyze Defects In Active Nematics)
New Machine Learning Study Findings Have Been Reported by Researchers at Brandei s University (A Machine Learning Approach To Robustly Determine Director Fields and Analyze Defects In Active Nematics)
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
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Waltham, Massachusetts, by NewsRx journalists, research stated, "Active nematics are dense systems of rodl ike particles that consume energy to drive motion at the level of the individual particles. They exist in natural systems like biological tissues and artificial materials such as suspensions of self-propelled colloidal particles or syntheti c microswimmers." Funders for this research include United States Department of Energy (DOE), Unit ed States Department of Energy (DOE), Brandeis NSF MRSEC, National Science Found ation (NSF).
WalthamMassachusettsUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningBran deis University