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#DigitalTwin

Platform announcements, architecture advances, synchronisation research, and real-world deployment case studies from leading vendors and institutions.

4 news items·3 research papers·across 1 issue

Industry News


PARTNERSHIPFeb 23, 2026

NVIDIA & Dassault Systèmes Announce 'Industry World Models'

Moving beyond conventional digital twins, this collaboration aims to create comprehensive, physics-based virtual representations of entire industrial environments. The initiative will enable more holistic simulations and AI-driven insights for design, manufacturing, and operations, promising a new level of system-wide optimization.

Engineering.com
PRODUCT LAUNCHFeb 24, 2026

Siemens Launches Digital Twin Composer for Large-Scale Projects

Siemens has introduced a new platform to streamline the creation of complex, industrial-scale digital twins. The Digital Twin Composer integrates 2D and 3D data with real-time operational information and AI-powered simulations, allowing for more accurate and dynamic virtual models of products, factories, and supply chains.

Capstone Engineering Services
INNOVATIONFeb 24, 2026

NORD DRIVESYSTEMS Unveils Digital Twins for Virtual Commissioning

NORD is now offering customers the ability to create and test digital twins of their drive systems before purchase. This virtual commissioning process, available through the myNORD online portal, allows for early validation of system design and functionality, significantly reducing project timelines and costs.

Food Engineering Magazine
NEW FACILITYFeb 24, 2026

Rockwell Automation Opens New Customer Experience Center in Bologna

To accelerate industrial innovation in the EMEA region, Rockwell Automation has launched a new facility dedicated to showcasing the latest in digital twin technology, robotics, and industrial automation. The center will provide a hands-on environment for machine builders and manufacturers to explore and validate cutting-edge solutions.

Rockwell Automation

Research Papers


FAULT DETECTIONFeb 25, 2026

Data-Driven Supervision of a Thermal-Hydraulic Process Towards a Physics-Based Digital Twin

Osimone Imhogiemhe, Yoann Jus, Hubert Lejeune, Saïd Moussaoui

This paper presents a digital twin framework for fault detection and diagnosis in thermal-hydraulic systems. By combining numerical simulations with machine learning, the proposed model can accurately detect and diagnose parameter changes, paving the way for more robust and reliable process supervision.

arXiv:2602.22267
SUSTAINABILITYDec 2025

Predictive Maintenance and Digital Twins for Greener Power Generation

Agil Mammadov, Yaroslav Danilov

This study reviews the application of predictive maintenance and digital twins in the renewable energy sector across four countries. The findings indicate that these technologies are crucial for improving the reliability and efficiency of wind and solar power generation, contributing to a more sustainable energy future.

International Journal of Energy and Power Engineering
ARCHITECTUREJan 30, 2026

Digital Twin Synchronization: towards a data-centric architecture

Eduardo Freitas, Assis T. de Oliveira Filho, Pedro R. X. do Carmo, Djamel Sadok, Judith Kelner

As digital twins become more prevalent, the challenge of ensuring they remain synchronized with their physical counterparts is critical. This paper explores the complexities of real-time data synchronization and proposes a unified, data-centric architecture to address security, interoperability, and performance requirements.

arXiv:2601.23051

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