Abstract
Investigators discuss new findings in Machine Learning. According to news reporting from Changchun, People’s Republic of China, by NewsRx journalists, research stated, “We constructed an automated machine learning pipeline to screen the broad chemical space of candidate co-polymers for anion exchange membranes (AEMs). The pipeline utilizes a genetic algorithm integrated twelve machine learning algorithms, to screen copolymers that are potentially capable to improve AEM performance through the evolution of polymer hydrophobic and hydrophilic backbones and cation groups.” Funders for this research include National Natural Science Foundation of China (NSFC), Major Science and Technology Projects for Independent Innovation (Research and Development of Key Technologies) of China FAW Group Co., Ltd.), National S & T Major Project, Guizhou University Talents Fund.
NETL
NSTL
Elsevier