首页|Investigators at Chinese Academy of Sciences Describe Findings in Machine Learni ng (Constructing a Temperature Transferable Coarse-grained Model Of Cis-1,4-poly isoprene With the Structural and Thermodynamic Consistency Aided By Machine ...)
Investigators at Chinese Academy of Sciences Describe Findings in Machine Learni ng (Constructing a Temperature Transferable Coarse-grained Model Of Cis-1,4-poly isoprene With the Structural and Thermodynamic Consistency Aided By Machine ...)
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 – Investigators discuss new findings in Machine Learning. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Polyisoprene (PI) is a wid ely used polymer and constructing a systematic coarse-grained (CG) PI model with the structural and thermodynamic consistency with the underlying atomic model o ver a wide range of thermodynamic conditions is very important for the predictiv e capability of CG model on overall properties of PI polymer materials and the e stablishment of their structure-property relationship. However, as the number of tunable CG potential parameters and target properties grows, traditional parame ter tuning methods become impractical.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
NETL
NSTL
