Front Cover: Can Molecular Systems Learn? (ChemSystemsChem 2/2025)

IF 3.1 Q2 CHEMISTRY, MULTIDISCIPLINARY
Kübra Kaygisiz, Rein V. Ulijn
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Abstract

Learning and memory, once associated only with intelligent life forms, are now increasingly recognized in both physical and virtual systems, such as simple organisms, machines, and even designed chemical systems. The Perspective by Kübra Kaygisiz and Rein V. Ulijn explores how molecular components can be engineered to create supramolecular systems capable of learning, with potential applications in materials science and next-generation computing.

Abstract Image

封面:分子系统能学习吗?(ChemSystemsChem 2/2025)
学习和记忆,曾经只与智能生命形式联系在一起,现在越来越多地在物理和虚拟系统中被认识到,比如简单的有机体、机器,甚至是设计好的化学系统。k布拉·凯吉西兹和赖因·v·乌林的《透视》探讨了如何设计分子成分来创建具有学习能力的超分子系统,在材料科学和下一代计算领域具有潜在的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.00
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