Overview

Digital twins are computational counterparts of physical assets, people, or broader systems, updated with observations to represent their changing state and test possible actions. Approaches range from physics-based simulation and data assimilation to machine-learning surrogates, hybrid models, generative agents, and reinforcement learning for control. Applications span manufacturing, infrastructure, transportation, healthcare, energy, and social systems, where twins can support forecasting, maintenance, safety testing, and personalized decisions. A central challenge is ensuring that a twin remains calibrated and trustworthy as conditions change, while balancing fidelity, uncertainty, computation, privacy, and validation against real-world outcomes.

Latest papers

CardsList

253 papers36 papers in the last four weeks, up 16% on the four weeks before. 0.2% of all new papers.

  1. KODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling

    Sep 7, 2026Maximiliano Wardle, A. Ryo Koblitz3D ReconstructionRadio Propagation Modeling

  2. Sparse Incident-Cluster Learning for 12-hour Port Flood Pre-warning in Digital-Twin Analytics

    Sep 5, 2026Jie Zhang, Qiang Ni, David Windridge +1Flood ForecastingDigital Twins

  3. DNative-Twin: Decision Graphs and Digital Twins for Reconstructable Agentic Decisions

    Sep 3, 2026Junjie Pang, Zhenzhen Xie, Haoke Han +3Data ProvenanceAI Agent Auditing

  4. Tri-Band Channel Measurement-Enabled Multi-Layer Digital Twin for Terahertz Wireless Data Centers

    Sep 1, 2026Mingjie Zhu, Ziming Yu, Guangjian Wang +1Wireless CommunicationsRadio Propagation Modeling

  5. Contrast-Free Autonomous Navigation of Untethered Endovascular Microrobots Using Single-Plane Fluoroscopy

    Aug 31, 2026Husnu Halid Alabay, Tuan-Anh Le, Ping Wang +1Robotic Endovascular InterventionDigital Twins

  6. The PUR-1 Cyber-Physical Digital Twin

    Aug 31, 2026Vasileios Theos, Jonah Lau, Konstantinos Gkouliaras +7Cyber-Physical SystemsDigital Twins

  7. Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Construction

    Aug 30, 2026Haoting Zhang, Haoxian Chen, Jiayuan Sheng +4Large Language Model-Guided OptimizationDigital Twins

  8. LUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic Control

    Aug 28, 2026Hyeonsu Lyu, Minwoo Kim, Sehyun Ryu +1RoboticsRobotic Control

  9. ExploraTwin, a Non-Profit Research Platform for Digital Twin Simulations

    Aug 20, 2026Naveen Venkat, Yuchen Qiu, Tianyi Peng +2Digital TwinsUser Simulation

  10. Building real-time digital twin instances with Function+Data Flow: user evaluation and extension for iterative pipelines

    Aug 19, 2026Eduardo de Conto, Blaise Genest, Arvind Easwaran +2Model-Driven EngineeringDigital Twins

  11. Digital Twin-Based Intrusion Detection for Vehicle Powertrain CAN Bus Systems

    Aug 17, 2026Araf Rahman, M Sabbir Salek, Mashrur ChowdhuryNetwork Intrusion DetectionCybersecurity

  12. Digital Twin Degradation: Detecting Cyber Physical Attacks via Temporal Inconsistencies

    Aug 17, 2026Konstantinos E. Kampourakis, Vasileios Gkioulos, Sokratis KatsikasCPS SecurityCybersecurity

  13. A Physiology-Informed Digital Twin Framework for Simulating Liver Health Progression

    Aug 15, 2026Sumaiya Afroz Mila, Sandip RayDigital TwinsClinical Outcome Prediction

  14. Twin: Playing an Unknown Game with a Test-Time Digital Twin

    Aug 14, 2026Alexy Skoutnev, Kirill Acharya, Gaston Longhitano +3Game-Playing AgentsCode World Models

  15. Operational digital twin clinics enable task-based evaluation of embodied AI

    Aug 12, 2026Xinyuan Wu, Jingrao Zhang, Mengdi Xu +3Digital TwinsEmbodied AI

  16. AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection

    Aug 12, 2026Touseef Hasan, Mounika Ghanta, Souvika Sarkar +1Cyber-Physical SystemsDigital Twins

  17. Hierarchical Federated Transfer Learning in Digital Twin-Based Vehicular Networks

    Aug 12, 2026Qasim Zia, Saide Zhu, Haoxin Wang +2Hierarchical Federated LearningDigital Twins

  18. Bridging the Data Gap: Digital Twin as a New Paradigm for AI-based Radio Sensing

    Aug 11, 2026Éloi Sainte-Beuve, Guillaume Larue, Louis-Adrien Dufrène +2Digital Twins

  19. Link-adaptive digital twin for robust physical-layer modeling in hybrid-amplified ultra-wideband optical networks

    Aug 11, 2026Xiaoxuan Gao, Rentao Gu, Yingchun Wang +3Neural Surrogate ModelingFew-Shot Domain Adaptation

  20. Trajectory Design and Budgeted Querying for Digital Twin Calibration

    Aug 9, 2026Vladyslava Spitkovska, Dmytro KuzmenkoActive LearningSystem Identification

  21. From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks

    Aug 6, 2026Christo Kurisummoottil Thomas, Omar Hashash, Walid SaadMulti-Agent CoordinationDigital Twins

  22. BendTwin: Robust Dense-to-Sparse Physical Reconstruction with Bending-Aware Differentiable Spring-Mass Models

    Aug 6, 2026Yixiong Jing, Qi Wang, Lin Chen +6Structural MechanicsSparse-View 3D Reconstruction

  23. Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

    Aug 4, 2026Seonaeng Cho, Minjee Seo, Minju Seol +3Neural Surrogate ModelingModel-Based Planning

  24. Cardiovascular Digital Twins from Physics Based to Data Driven Approaches

    Aug 3, 2026Emmanuel Lwele, Francis ChikwetoData AssimilationPhysics-Informed ML

  25. tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins

    Aug 3, 2026Minjee Seo, Haris Ghafoor, Minju Seol +2PDE Operator LearningDigital Twins

  26. When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins

    Aug 3, 2026Dang P. M. Cao, Hieu PhamLeft Ventricular Ejection Fraction EstimationEchocardiography

  27. Neuro-Symbolic Participation Governance for Verifiable AI Agents in Open Digital Twin Ecosystems

    Aug 2, 2026Juan Li, Wei Cai, Yan BaiMulti-Agent CollaborationLLM Agent Verification