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Diffusion

Diffusion

Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...

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相关实验视频

Updated: May 5, 2026

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities

Published on: July 24, 2015

在应用材料中通过图形神经网络研究材料接口扩散现象.

Zirui Zhao¹, Hai-Feng Li¹

¹Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macao SAR 999078, China.

ACS applied materials & interfaces

|October 3, 2024

概括

这项研究引入了一种新的图形神经网络 (GNN) 方法,用于预测材料接口扩散. 该GNN模型准确预测扩散系数和通路,帮助材料设计.

科学领域:

材料科学材料科学材料科学
计算化学的计算化学
数据科学数据科学数据科学

背景情况:

接口扩散对于半导体,电池和催化剂至关重要.
准确预测扩散是具有挑战性的,但对于材料开发至关重要.

研究的目的:

开发一种新的图形神经网络 (GNN) 模型,用于预测材料接口扩散.
为理解和优化材料接口特性提供计算工具.

主要方法:

收集并预处理的实验和模拟扩散数据.
构建了一个代表原子结构和扩散参数的GNN模型.
用于特征学习的图形卷积和注意层.

主要成果:

实现了对扩散系数,速率和度概况的准确预测.
使用GNN模型确定了潜在的扩散途径.
证明了该模型在各种材料系统中的有效性.

结论:

GNN方法为建模材料接口扩散提供了一种强大的新方法.
这种工具可以在先进材料的设计和工程方面显著帮助.

关键词:

图形神经网络 (GNNS) 是一个神经网络.原子结构建模原子结构建模接口扩散介面的扩散材料属性预测材料属性预测半导体接口的半导体接口

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Advanced Experimental Methods for Low-temperature Magnetotransport Measurement of Novel Materials

Advanced Experimental Methods for Low-temperature Magnetotransport Measurement of Novel Materials

Published on: January 21, 2016

Using Graphene Liquid Cell Transmission Electron Microscopy to Study in Situ Nanocrystal Etching

Using Graphene Liquid Cell Transmission Electron Microscopy to Study in Situ Nanocrystal Etching

Published on: May 17, 2018

相关实验视频

Last Updated: May 5, 2026

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities

Published on: July 24, 2015

Advanced Experimental Methods for Low-temperature Magnetotransport Measurement of Novel Materials

Advanced Experimental Methods for Low-temperature Magnetotransport Measurement of Novel Materials

Published on: January 21, 2016

Using Graphene Liquid Cell Transmission Electron Microscopy to Study in Situ Nanocrystal Etching

Using Graphene Liquid Cell Transmission Electron Microscopy to Study in Situ Nanocrystal Etching

Published on: May 17, 2018

这些发现提供了应对材料接口扩散长期存在的挑战的策略.