熵最大化决定动态共价水凝胶的拓扑结构和机械性能
Entropy maximization underlies topology and mechanical properties in dynamic covalent hydrogels
AI总结：
研究通过构建动态网络模型，发现可逆键交换使网络拓扑熵增加，从而准确预测了凝胶点和弹性，且通过控制键交换可显著改变机械性能。
摘要：
在聚合物网络中加入动态键可实现再加工和回收；然而可逆键对动态网络力学的全面影响仍不明确。我们构建了模型动态网络并观察到显著偏离经典理论的现象。我们通过考虑键交换使网络能够重新排列并采用具有更高熵的拓扑结构来解释这些发现。这使我们能够准确预测动态网络的凝胶点和弹性。进一步地，我们通过控制键交换显示，网络重新排列可以显著改变机械性能，即使在不失去键的情况下。
英文摘要：
Adding dynamic bonds in polymer networks enables reprocessing and recycling; however the full impact of reversible bonds on dynamic network mechanics remains unclear. We build model dynamic networks and observe substantial deviations from classic theory. We rationalize these findings by considering that bond exchange enables the networks to rearrange and adopt a topology with a higher entropy. This allows us to accurately predict the gel point and elasticity of the dynamic networks. Further, we show by controlling bond exchange that network rearrangement can dramatically alter the mechanical properties, even without loss of bonds.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
