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数字孪生动力学
Digital Twin Dynamics
Journal Type:
国际期刊
Language:
英文刊
Category:
工程技术
Publish Cycle:
半年刊
Review Cycle:
7个工作日
Publish Model:
开放获取（OA）
Publish Country:
美国
Char/Page Requirement:
3版（5000字符）
ISSN:
申请中
Journal Introduction
Aims Digital Twin Dynamics (DTD) is a peer-reviewed, interdisciplinary journal dedicated to advancing the science, engineering, and applications of digital twin technology across industries. Digital twins—virtual replicas of physical systems enabled by real-time monitoring, simulation, and optimization—are transforming fields such as manufacturing, healthcare, smart cities, and aerospace. DTD serves as a platform for cutting-edge research on the development, validation, and deployment of digital twins, with a focus on AI-driven modeling, real-time data integration, and cyber-physical system interoperability.
Topics
Scopes
The journal covers interdisciplinary research and applications related to digital twin technology, including but not limited to:
Core technology development of digital twins: such as virtual modeling methods, real-time data acquisition and transmission technologies, dynamic simulation algorithms
Validation and optimization of digital twins: involving model accuracy verification, system performance optimization, lifecycle management
AI-driven digital twin modeling: including the application of machine learning and deep learning in twin model construction and predictive analysis
Real-time data integration: cross-platform data fusion, edge computing and cloud collaboration, real-time data stream processing
Interoperability of cyber-physical systems (CPS): seamless interaction between digital twins and physical systems, cross-system data sharing and collaboration mechanisms
Industry-specific applications: practical implementations of digital twins in manufacturing (e.g., smart factories, equipment operation and maintenance), healthcare (e.g., patient virtual twins, personalized treatment simulation), smart cities (e.g., transportation systems, energy management), and aerospace (e.g., aircraft condition monitoring, fault prediction)
Editorial Board
No editorial board information available.
