Robotics & Machine Learning Daily News2024,Issue(Jun.10) :113-114.

New Machine Learning Study Findings Have Been Reported by Investigators at Hebei University of Technology (Machine Learning and Molecular Design Algorithm Assis ted Discovery of Gas Separation Membranes Exceeding the Co2/ch4 and Co2/n2 Upper ...)

河北工业大学的研究人员报告了新的机器学习研究结果(机器学习和分子设计算法用于发现超过CO2/CH4和CO2/N2上限的气体分离膜)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :113-114.

New Machine Learning Study Findings Have Been Reported by Investigators at Hebei University of Technology (Machine Learning and Molecular Design Algorithm Assis ted Discovery of Gas Separation Membranes Exceeding the Co2/ch4 and Co2/n2 Upper ...)

河北工业大学的研究人员报告了新的机器学习研究结果(机器学习和分子设计算法用于发现超过CO2/CH4和CO2/N2上限的气体分离膜)

扫码查看

摘要

一位新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-在一份新的报告中讨论了机器学习的研究结果。根据中国人民共和国天津消息,NewsRx通讯员的研究表明:“在大的化学空间中设计具有理想性能的气体分离膜聚合物是一项挑战,为了解决这个问题,提出了一个结合机器学习(ML)和贝叶斯分子设计算法的框架来帮助气体分离膜聚合物的发现。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on Machine Learning are discuss ed in a new report. According to news originating from Tianjin, People’s Republi c of China, by NewsRx correspondents, research stated, “Designing polymers with desirable properties for gas separation membranes in a large chemical space is c hallenging. To address this issue, a framework combining machine learning (ML) a nd Bayesian-based molecular design algorithm is proposed to assist the discovery of polymers for gas separation membranes.”

Key words

Tianjin/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Hebei Universit y of Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文