Digital twinHow Much Training is Needed with a Digital Twin?arXiv API — полнотекстовый поиск "digital twin" · yesterdayDigital twinPUR-1 Cyber-Physical Digital TwinarXiv — Computational Engineering, Finance, and Science (cs.CE) · yesterdayDigital twinForesight session on the future of cyber-physical systems security in RussiaspbIT · yesterdayForecastingStochastic Nonlinear MPC with Gaussian Mixture Uncertainty PropagationarXiv — Systems and Control (eess.SY) · yesterdayMarket & productsUS Nurses Protest Against Hospital Contracts with PalantirCNews · 2dModellingDigital Sector Expands AI Practice with Agentic ScenariosCNews · 2dModellingMechanics of Democratic Dominance: System Dynamics for Consent EngineeringarXiv — Physics and Society (physics.soc-ph) · 2dDigital twinRemote-Sensing-Based Channel Modeling for 6G Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 2dForecastingDistributed MPC for Optimal Consensus of Heterogeneous Multi-Agent SystemsarXiv — Systems and Control (eess.SY) · 2dEnergyInitialization Is Key in Federated Short-Term Load ForecastingarXiv — Systems and Control (eess.SY) · 2dDigital twinSpec2Twin-Chain: Automating Blockchain Digital Twin ConstructionarXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinCyber-Physical Machine Tool with Real-Time Machining Process Digital TwinarXiv API — полнотекстовый поиск "digital twin" · 2d
Link-adaptive Digital Twin for Physical-Layer Modeling in Optical Networks
US & West ·
A link-adaptive digital twin is proposed for hybrid-amplified ultra-wideband optical links, decomposing the GSNR estimation task into three power predictions and using neural networks with linear modulation layers to improve accuracy and generalization.
Why it matters
Accurate physical-layer modeling is key for capacity optimization and reliability of large telecom networks.
Investigates how many training pilots are needed when a digital twin of a wireless channel is used for channel estimation. The twin is treated as a complementary measurement fused with pilot observations. For the first time, this trade-off is formalized and quantified.
The article discusses an architecture of a digital twin for nuclear systems, integrating multiple models (physics-based and data-driven) to support decision making, state estimation, predictive control, and real-time data processing. The twin must synchronize with the physical facility faster than its operational cycle.
The company 'Aktiv' has finalized a document based on the foresight session held in Moscow in March 2025. The document includes strategic recommendations and forecasts for the industry development until 2040.
