首页|面向锰基材料的电化学性能测试的计算机仿真技术研究

面向锰基材料的电化学性能测试的计算机仿真技术研究

扫码查看
针对传统实验方法往往难以捕捉到锰基材料在微观尺度上的动态行为的问题,研究系统整合了从原子尺度到宏观尺度的多尺度建模方法,并采用先进的机器学习算法支持向量机实现跨尺度信息传递与数据融合.实验结果显示,专家们对Mn-ECS仿真方案的评价普遍较高.具体而言,在模型准确性、数值稳定性、计算效率和可扩展性这4 个关键方面,分别有26 人、35 人、27 人和26人表达了满意的态度,该系统实现了全面、准确的性能评估,为锰基材料的深入研究和应用开发提供了新的思路和方法.
A Research on the Computer Simulation Technology for Testing the Electrochemical Properties of Manganese-based Materials
In view of the problem in which traditional experimental methods are often difficult to capture the dynamic behavior of manganese-based materials at the microscale,The research system integrates the multi-scale modeling method from atomic scale to macroscale.It adopts the advanced machine learning algorithm Support Vector Machine(SVM)to realize the cross-scale information transfer and data fusion.The experimental results show that the experts generally evaluated Mn-ECS simulation scheme more positively.Specifically,in the model accuracy,numerical stability,computational efficiency,and scalability are four key aspects.There are 26,35,27,and 26 experts,respectively,who expressed a positive attitude.The system has implemented a comprehensive and accurate performance evaluation for the in-depth research and application development of manganese-based materials,and provides a new idea and method.

ElectrochemicalPerformance testingComputer simulationManganese-based materials

于士尧

展开 >

四川大学匹兹堡学院,四川 成都 610207

电化学 性能测试 计算机仿真 锰基材料

2024

中国锰业
全国锰业技术委员会 湖南特种金属材料厂

中国锰业

CSTPCD
影响因子:0.432
ISSN:1002-4336
年,卷(期):2024.42(3)
  • 6