Traditional methods of discovering new materials,such as the empirical trial and error method and the density functional theory(DFT)-based method,are unable to keep pace with the development of materials science today...Traditional methods of discovering new materials,such as the empirical trial and error method and the density functional theory(DFT)-based method,are unable to keep pace with the development of materials science today due to their long development cycles,low efficiency,and high costs.Accordingly,due to its low computational cost and short development cycle,machine learning is coupled with powerful data processing and high prediction performance and is being widely used in material detection,material analysis,and material design.In this article,we discuss the basic operational procedures in analyzing material properties via machine learning,summarize recent applications of machine learning algorithms to several mature fields in materials science,and discuss the improvements that are required for wide-ranging application.展开更多
针对越来越复杂的系统和越来越短的产品研制周期要求,探讨基于DoDAF(Department of Defence Architecture Framework)体系结构建模方法的特点与建模步骤,并以典型舰载武器系统为例进行建模及验证,所建模型说明该方法能够满足系统准确建...针对越来越复杂的系统和越来越短的产品研制周期要求,探讨基于DoDAF(Department of Defence Architecture Framework)体系结构建模方法的特点与建模步骤,并以典型舰载武器系统为例进行建模及验证,所建模型说明该方法能够满足系统准确建模的要求,可对舰载武器系统研制过程的优化设计、变更影响分析和风险控制等方面提供技术支撑。展开更多
综述国内外建模和模拟(Modeling and Simulation,M&S)的验证与确认(Verification and Validation,V&V)的相关概念、术语、规范、置信度评估方法和应用等方面的发展和研究进展,概括M&S的V&V中的几个关键问题,构建复杂工...综述国内外建模和模拟(Modeling and Simulation,M&S)的验证与确认(Verification and Validation,V&V)的相关概念、术语、规范、置信度评估方法和应用等方面的发展和研究进展,概括M&S的V&V中的几个关键问题,构建复杂工程M&S的V&V的知识指南,为M&S的V&V技术真正走向应用提供参考.展开更多
基金funded by China Postdoctoral Science Foundation(no.2017M620694)National Postdoctoral Program for Innovative Talents(BX201700040)+3 种基金supported by the National Natural Science Foundation of China(grant nos.61622406 and 61571415)the National Key Research and Development Program of China(grant nos.2017YFA0207500 and 2016YFB0700700)the Strategic Priority Research Program of Chinese Academy of Sciences(grant no.XDB30000000)Beijing Academy of Quantum Information Sciences(grant no.Y18G04).
文摘Traditional methods of discovering new materials,such as the empirical trial and error method and the density functional theory(DFT)-based method,are unable to keep pace with the development of materials science today due to their long development cycles,low efficiency,and high costs.Accordingly,due to its low computational cost and short development cycle,machine learning is coupled with powerful data processing and high prediction performance and is being widely used in material detection,material analysis,and material design.In this article,we discuss the basic operational procedures in analyzing material properties via machine learning,summarize recent applications of machine learning algorithms to several mature fields in materials science,and discuss the improvements that are required for wide-ranging application.
文摘针对越来越复杂的系统和越来越短的产品研制周期要求,探讨基于DoDAF(Department of Defence Architecture Framework)体系结构建模方法的特点与建模步骤,并以典型舰载武器系统为例进行建模及验证,所建模型说明该方法能够满足系统准确建模的要求,可对舰载武器系统研制过程的优化设计、变更影响分析和风险控制等方面提供技术支撑。
文摘综述国内外建模和模拟(Modeling and Simulation,M&S)的验证与确认(Verification and Validation,V&V)的相关概念、术语、规范、置信度评估方法和应用等方面的发展和研究进展,概括M&S的V&V中的几个关键问题,构建复杂工程M&S的V&V的知识指南,为M&S的V&V技术真正走向应用提供参考.
