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Updated: Jan 20, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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可持续聚合物膜的机器学习驱动设计:气体透性,选择性和生物降解性的综合预测

Haruki Ochiai1, Kazukiyo Nagai1, Hiromasa Kaneko1

  • 1Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan.

ACS omega
|January 19, 2026
PubMed
概括

机器学习模型预测可生物降解的聚合物可用于高效的二氧化碳 (CO2) 分离膜. 这种方法确定了高性能材料,解决了环境污染问题,并推进了二氧化碳回收技术.

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