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预测超分子凝胶的力学性能。

Predicting the Mechanical Properties of Supramolecular Gels.

作者信息

Simpson Jack D, Thomson Lisa, Woodley Christopher M, Wallace Chloe M, Dietrich Bart, Loch Alex S, Adams Dave J, Berry Neil G

机构信息

Department of Chemistry, University of Liverpool, Liverpool, L69 7ZD, UK.

School of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.

出版信息

Adv Mater. 2025 Feb;37(8):e2415031. doi: 10.1002/adma.202415031. Epub 2025 Jan 9.

DOI:10.1002/adma.202415031
PMID:39780688
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11854865/
Abstract

The prediction of gelation is an important target, yet current models do not predict any post-gel properties. Gels can be formed through the self-assembly of many molecules, but close analogs often do not form gels. There has been success using a number of computational approaches to understand and predict gelation from molecular structures. However, these approaches focus on whether or not a gel will form, not on the properties of the resulting gels. Critically, it is the properties of the gels that are important for a specific application, not simply whether a gel will be formed. Supramolecular gels are often kinetically trapped, meaning that predicting gel properties is inherently a difficult challenge. Here, the first successful a priori prediction of gel properties for such self-assembled, supramolecular systems is reported.

摘要

凝胶化的预测是一个重要目标,但目前的模型无法预测凝胶化后的任何性质。凝胶可以通过许多分子的自组装形成,但紧密的类似物通常不会形成凝胶。使用多种计算方法来从分子结构理解和预测凝胶化已取得了成功。然而,这些方法关注的是凝胶是否会形成,而非所得凝胶的性质。至关重要的是,对于特定应用而言,重要的是凝胶的性质,而不仅仅是凝胶是否会形成。超分子凝胶通常在动力学上被捕获,这意味着预测凝胶性质本质上是一项艰巨的挑战。在此,报道了对这种自组装超分子体系凝胶性质的首次成功的先验预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/4bc4ece278ae/ADMA-37-2415031-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/549034e0a8fa/ADMA-37-2415031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/b338d6cb34c8/ADMA-37-2415031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/86a1334a4504/ADMA-37-2415031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/ba563cd30d5d/ADMA-37-2415031-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/4bc4ece278ae/ADMA-37-2415031-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/549034e0a8fa/ADMA-37-2415031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/b338d6cb34c8/ADMA-37-2415031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/86a1334a4504/ADMA-37-2415031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/ba563cd30d5d/ADMA-37-2415031-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aabf/11854865/4bc4ece278ae/ADMA-37-2415031-g008.jpg

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