Digital Engineering is an international, transdisciplinary journal dedicated to advancing digital engineering across a wide range of sectors. Published by Elsevier, the journal covers theoretical, methodological, technological, and practical advances in digitalization and digital technologies.

Volume 10 of Digital Engineering is now available on ScienceDirect.

The theme of this issue is “Digital Twins with AI.” The volume features 14 papers exploring the convergence of digital twins, artificial intelligence, and digital engineering across manufacturing, transportation, construction, buildings, industrial asset management, infrastructure, remanufacturing, and other domains.

The papers cover a broad range of topics, including AI-enabled digital twin frameworks for flexible manufacturing, explainable AI for driver-state classification, and data-fusion and automated machine learning for traffic estimation. Other studies address semantic interoperability for circular construction, large language model applications in requirements engineering, and physics-informed AI for thermal simulation and anomaly detection in additive manufacturing.

The issue also presents research on occupant-centric digital twins for building energy and thermal comfort management, natural-language access to industrial asset information using large language models, and machine-learning approaches for bridge damage detection and structural health monitoring. Further contributions investigate uncertainty-aware remanufacturing scheduling, collaborative manufacturing services, stress-field reconstruction for hydropower-station gantry cranes, interpretable root-cause analysis for heavy-rail defects, and physics-informed digital twins for temperature-field reconstruction.

The volume also features the Editorial, “Digital twins with AI: insights from the 6th digital twin international conference,” highlighting key insights from the 6th Digital Twin International Conference (DigiTwin 2026), held at the University of Oxford in August 2026.

View Volume 10 on ScienceDirect