Digital Twin Technologies: Concepts, Methods, and Applications

Dear Colleagues,

Digital twin technology involves creating a virtual representation of a physical system, process, or asset that continuously mirrors and interacts with its real-world counterpart. It integrates real-time data, simulation models, and analytics to provide performance insights, predict future behavior, and optimize operations. It has emerged as a transformative paradigm, enabling real-time monitoring, predictive analytics, and intelligent decision-making across diverse sectors such as energy systems, manufacturing, healthcare, transportation, and smart cities. By integrating advanced modeling, data-driven intelligence, and cyber–physical interaction, digital twins bridge the gap between physical assets and their virtual counterparts, driving innovation in system design, operation, and optimization.

This Special Issue invites authors to submit high-quality contributions that advance the theory, methods, and applications of digital twins, as well as other research in this field. We welcome original research, reviews, and visionary perspectives on, but not limited to, the following topics:

• Foundations of Digital Twins: modeling, simulation, standardization, and interoperability.
• AI and Machine Learning for Digital Twins: predictive modeling, anomaly detection, and adaptive control.
• Cybersecurity and Trust: data integrity, privacy, and resilient architectures for digital twin systems.
• Domain-Specific Applications: energy and power systems, Industry 4.0, smart grids, transportation, healthcare, aerospace, and urban infrastructure.
• Experimental Twins and Scaled Prototypes: validation methods and real-world case studies.
• Future Directions: scalable architectures, edge/cloud integration, and cross-domain digital twin ecosystems.

Dr. Shuhui Li
Dr. Hepeng Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Experimental and Theoretical Analyses is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• foundations of digital twins: modeling, simulation, standardization, and interoperability
• AI and machine learning for digital twins: predictive modeling, anomaly detection, and adaptive control
• cybersecurity and trust: data integrity, privacy, and resilient architectures for digital twin systems
• domain-specific applications: energy and power systems, Industry 4.0, smart grids, transportation, healthcare, aerospace, and urban infrastructure
• experimental twins and scaled prototypes: validation methods and real-world case studies
• future directions: scalable architectures, edge/cloud integration, and cross-domain digital twin ecosystems