在无序的软物质中,连接结构记忆和骨质记忆
Krutarth M Kamani1, Yul Hui Shim2, James Griebler1
1Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA. sarogers@illinois.edu.
Soft matter
|January 10, 2025
概括
研究人员使用rheo-X-ray光子相关谱学 (rheo-XPCS) 将软物质结构和流动联系起来. 他们发现可回收菌株直接测量纳米级结构记忆,即使在产生后.
科学领域:
- 软物质物理学 软物质物理学
- 材料科学 材料科学 材料科学
- 体科学 体科学 体科学
背景情况:
- 无序的软材料表现出复杂的行为,在压力下从固体状流向塑料流转.
- 了解宏观性质和纳米结构之间的联系对于材料设计至关重要.
- 风病学记忆和结构进化是预测物质反应的关键.
研究的目的:
- 为了将宏观的风湿记忆与 colloidal 凝中的纳米结构变化联系起来.
- 调查可回收应变的作用在结构重组的决定性作用.
- 阐明产生和持久结构记忆的异质性质.
主要方法:
- 使用rheo-X-ray光子相关谱 (rheo-XPCS) 来同时探测结构和动力学.
- 在各种应变幅度的合体凝中应用循环剪切.
- 开发了一种通用记忆功能,以关联结构和质数据.
主要成果:
- 确立了纳米尺度的聚合结构在可回收应变为零时重复相关.
- 证明了宏观可回收菌株可以量化地测量纳米级结构记忆.
- 观察到异质的收益率和结构性记忆的持久性后流.
结论:
- 宏观可回收应变为软材料中纳米级结构记忆的直接指标.
- 在这些材料中,产量是异质的,即使经过显著的变形,记忆效应也会持续下去.
- 这项工作提供了结构,记忆和流动在无序的软物质之间的基本联系.
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