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通过数字孪生技术利用X射线光子相关光谱探索纳米纤维网络。

Exploring nanofibrous networks with x-ray photon correlation spectroscopy through a digital twin.

作者信息

Rosén Tomas, He HongRui, Wang Ruifu, Gordeyeva Korneliya, Motezakker Ahmad Reza, Fluerasu Andrei, Söderberg L Daniel, Hsiao Benjamin S

机构信息

Department of Fibre and Polymer Technology, Royal Institute of Technology, 100 44 Stockholm, Sweden.

Wallenberg Wood Science Center, Royal Institute of Technology, 100 44 Stockholm, Sweden.

出版信息

Phys Rev E. 2023 Jul;108(1-1):014607. doi: 10.1103/PhysRevE.108.014607.

Abstract

We demonstrate a framework of interpreting data from x-ray photon correlation spectroscopy experiments with the aid of numerical simulations to describe nanoscale dynamics in soft matter. This is exemplified with the transport of passive tracer gold nanoparticles in networks of charge-stabilized cellulose nanofibers. The main structure of dynamic modes in reciprocal space could be replicated with a simulated system of confined Brownian motion, a digital twin, allowing for a direct measurement of important effective material properties describing the local environment of the tracers.

摘要

我们展示了一个借助数值模拟来解释X射线光子相关光谱实验数据的框架,以描述软物质中的纳米级动力学。这在电荷稳定的纤维素纳米纤维网络中被动示踪金纳米颗粒的传输中得到了例证。倒易空间中动态模式的主要结构可以用一个受限布朗运动的模拟系统(数字孪生)来复制,从而能够直接测量描述示踪剂局部环境的重要有效材料特性。

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