About the Journal

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 twin, virtual replicas of physical systems that are enabled by real-time monitoring, simulation, and optimization, are transforming fields such as manufacturing, healthcare, smart cities, and aerospace. DTD provides a platform for cutting-edge research on the development, validation, and deployment of digital twins, emphasizing AI-driven modeling, real-time data integration, and cyber-physical system interoperability.

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.

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, etc.
  • Validation and optimization of digital twins: involving model accuracy verification, system performance optimization, lifecycle management, etc.
  • 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, etc.
  • 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).

Article Processing Charges

As an open-access journal, all articles published in Journal of Stem Cell Bioengineering are accessible electronically from the journal website without the need for subscription fees or other forms of payment from the readers. An Article Processing Charge (APC) is applicable to papers accepted after peer review. The APC is intended to cover the underlying costs of article processing, such as peer-review, copy-editing, typesetting, publishing, content depositing and archiving processes.
There are no charges for rejected articles, no submission charges, and no surcharges based on the length of an article, figures or supplementary data. Some items (Editorials, Corrections, Addendums, Retractions, Comments, etc.) are published free of charge.

 

Journal Title

APC(USD)

Digital Twin Dynamics

$400