On digital twins in defense: overview and applications

Digital twins (DTs) have emerged as a transformative technology for modeling and simulation in various industries, including defense. This paper provides a comprehensive review of DT applications in defense modeling and simulation, focusing on how DTs can enhance simulation fidelity, interoperability, and decision support within defense systems. We consolidate existing research into a unified framework that links DT concepts, simulation-driven applications, and real-world deployments in defense scenarios. We discuss the role of the DT in applications like planning, training, execution, monitoring, and debriefing. We introduce a standardized DT characterization framework suitable for defense applications that aligns with industrial modeling and simulation standards and present a taxonomy of defense-specific use cases, highlighting recurring requirements. In addition, practical evidence is provided from a targeted questionnaire distributed to defense stakeholders and the ministries of defense (MoDs), revealing current challenges in DT integration and deployment. Finally, we conclude by identifying key gaps in DTs applications for defense modeling and simulation, including interoperability, security, and system integration, and we outline future research directions and development opportunities. This review aims to inform defense modeling and simulation practitioners and researchers, guiding future work on DT design, implementation, and deployment across defense applications.

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Publication Details

Journal
The Journal of Defense Modeling and Simulation Applications Methodology Technology
Published
2026-04-17
DOI
https://doi.org/10.1177/15485129261441817
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

On digital twins in defense: overview and applications

Holger Voos, José Luis Sánchez-López, Marco Giberna, Tobias Sorg et al.
The Journal of Defense Modeling and Simulation Applications Methodology Technology
Simulation Techniques and Applications
article

On digital twins in defense: overview and applications

Holger Voos, José Luis Sánchez-López, Marco Giberna, Tobias Sorg, Paulo Tavares, João Nunes, Andrea Masini
article en

Abstract

Digital twins (DTs) have emerged as a transformative technology for modeling and simulation in various industries, including defense. This paper provides a comprehensive review of DT applications in defense modeling and simulation, focusing on how DTs can enhance simulation fidelity, interoperability, and decision support within defense systems. We consolidate existing research into a unified framework that links DT concepts, simulation-driven applications, and real-world deployments in defense scenarios. We discuss the role of the DT in applications like planning, training, execution, monitoring, and debriefing. We introduce a standardized DT characterization framework suitable for defense applications that aligns with industrial modeling and simulation standards and present a taxonomy of defense-specific use cases, highlighting recurring requirements. In addition, practical evidence is provided from a targeted questionnaire distributed to defense stakeholders and the ministries of defense (MoDs), revealing current challenges in DT integration and deployment. Finally, we conclude by identifying key gaps in DTs applications for defense modeling and simulation, including interoperability, security, and system integration, and we outline future research directions and development opportunities. This review aims to inform defense modeling and simulation practitioners and researchers, guiding future work on DT design, implementation, and deployment across defense applications.

The Journal of Defense Modeling and Simulation Applications Methodology Technology
University of Luxembourg (LU), Hensoldt (Germany) (DE), Institute of Flight (US), Institute of Mechanical Engineering and Industrial Mangement (PT)
European Defence Agency, Fonds National de la Recherche Luxembourg
Partnerships for the goals
Openalex Percentile: Top 11%
Simulation Techniques and Applications
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