DEDTOpen Access

Digital Engineering and Digital Twin

Publication Frequency:Continuously

  • Online


  • on board


Special Issues

About the Journal

The Digital Engineering and Digital Twin (DEDT) is an international peer-reviewed Open Access journal that covers a broad range of topics in the frontier of digital engineering and digital twin to be of interest and use to both academics and practitioners. The journal communicates original contributions primarily in the form of research articles, but also through letters, technical notes, review articles, and editorials. The multidisciplinary nature of the journal is intended to encourage a fruitful exchange of ideas and research outcomes among different engineering specialties.

The journal’s scope spans methods, technologies, and applications of digital engineering and digital twin in different stages of the product’s lifecycle, including design, development, verification, manufacture, acquisition, operation, and maintenance, in a variety of engineering fields such as aerospace, automotive, marine, civil, mechanical, electrical, etc. Integrations and interactions of multi-stage and multi-disciplinary activities, including but not limited to multidisciplinary design analysis and optimization, model-based system engineering, virtual testing, rapid prototype, digital manufacture and assembly, self-awareness and self-control, prognostics and health management, are encouraged. Relevant methods for DEDT, such as physics-based modeling, data-driven modeling, model reduction, model calibration and updating, model adaptation, verification and validation, multi-domain modeling, multi-fidelity modeling, multi-disciplinary simulation, multi-level and multi-scale simulation, model/data fusion, uncertainty quantification, diagnosis and prognosis, risk-based decision-making, and predictive control, are welcomed. Key enabling technologies for DEDT including software development, platform deployment, connection and communication, visualization, as well as other relevant technologies such as the Internet of Things, cloud/edge computing, big data, artificial intelligence, and VR/AR, are also considered.

Indexing and Abstracting

Starting from July 2023, Digital Engineering and Digital Twin will transition to a continuous publication model, accepted articles will be promptly published online upon completion of the peer review and production processes.

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