New article Hierarchical Fourier Neural Operator (HFNO): an interpretable data-driven decomposition strategy for turbulent flows 👉cup.org/4ib3zjY By Marco Cayuela, Vincent Le Chenadec, Peter Schmid and Taraneh Sayadi #data #engineering

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New article! Pairwise interactions in turbulence time series: essential measures for validating synthetic data 👉cup.org/4sdUgV4 By Saleh Rezaeiravesh, Daniele Massaro and @pschlatt1 #data #engineering

Explore most cited articles from Data-Centric Engineering. Free to read and share: cup.org/4yriRay #OAWeek

Explore most read articles from Data-Centric Engineering. Free to read and share: cup.org/47TLdiF #OAWeek

Recently published! A data assimilation and machine learning approach for the numerical prediction of immersed bodies in oscillating motion 👉cup.org/4hUAOIl By Miguel Martínez Valero and Marcello Meldi #data #machinelearning

New article! A GAN-based framework for generating STFT spectrograms of rare acoustic events in structural health monitoring 👉 cup.org/4ijeZDu By Sasan Farhadi, Mariateresa Iavarone, Mauro Corrado, @Lne_Chatzi and Giulio Ventura #data #DeepLearning

New article! Structural condition-based maintenance for naval vessels: an end-to-end perspective 👉cup.org/4z7sN9W By Harleigh Seyffert, Ingo Drummen, Remco Hageman, Axel Homborg, Santiago Molins Riera, Tiedo Tinga, Geir Sagvolden and Ilias Zilakos #naval #maintenance

Recently published AI and the net-zero journey: energy demand, emissions, and the potential for transition 👉 cup.org/4iQpTBu By Pandu Devarakota, Nicolas Tsesmetzis, Faruk O. Alpak, Apurva Gala and Detlef Hohl #AI #energy #emissions #datacenters #netzero #CO2

New article! Benchmarking for nonlinear system identification: Submission platform and baseline results 👉cup.org/46R9sO5 By Maarten Schoukens, Max Champneys, Gerben Izaak Beintema and Timothy James Rogers #benchmark #data #datasets #nonlinearsystems

📢CALL FOR PAPERS: Physics-enhanced Machine Learning and Data-driven Nonlinear Dynamics Deadline extended! 🗓️1st February 2027 ℹ️ cup.org/4gCq0zb #data #engineering #MachineLearning #physics @ADvulab @Lne_Chatzi

New article! An end-to-end PyTorch interface for differentiable PDE solvers: A RANS model-correction study 👉cup.org/46GgkOa By Luca Saverio, Michele Alessandro Bucci, Gianmarco Farro, Cédric Content and Denis Sipp #MachineLearning #turbulencemodeling

Recently published article! FloorPulse: Heart rate measurement at a distance using indirect floor vibrations 👉cup.org/4gEedAl By Jesse R. Codling, @juliagersey, Jeffrey D. Shulkin, Yen-Cheng Chang, Jiale Zhang, @hugo_latapie, Hae Young Noh, Pei Zhang and Yiwen Dong

Recently published! Unsupervised scene-based clustering for underwater structural health monitoring: Enhancing image categorization and feature matching 👉cup.org/4wNtjrW By Kiyarash Aminfar and David Lattanzi (@GeorgeMasonU) #featurematching #imageclustering #AI

New article! Data-driven modeling of compressive strength in sustainable self-compacting concrete incorporating recycled aggregates using ensemble learning techniques 👉cup.org/4wIOsU5 By @AmornPimanmas and colleagues #machinelearning #compressivestrength #concrete

New article! Model selection and model-free statistical hypothesis tests in the context of thermal aging of rubber 👉cup.org/4gGOCqg By Aravind Kadhambariyil, @stephanebordas and Lars Beex #Bayesian #elastomer #rubber #engineering #data

New article! Adaptive digital twins for predictive decision-making: online Bayesian learning of transition dynamics 👉cup.org/4xGrYE4 By Eugenio Varetti, Matteo Torzoni, Marco Tezzele and Andrea Manzoni #Bayesian #digitaltwins #decisionmaking

New article! Robustness of data assimilation algorithms for reconstructing and forecasting the flow over a surface-mounted prism from sparse data 👉cup.org/3TFDHEx By Shengqi Lu and George Papadakis Part of the Data-Driven Fluid Dynamics special issue #data

Recent article! Human-centered Digital Twin in a dynamic manufacturing environment 👉cup.org/3RHTKRB By Eider Garate, Kerman López de Calle, Borja Calvo, Susana Ferreiro, Aitor Arnaiz and Álvaro García #digitaltwin #manufacturing

New article! Multi-fidelity autoencoders: RANS-LES jet flow predictions 👉 cup.org/4c5SePW By Ettore Saetta, Michele Massa, Renato Tognaccini and Gianluca Iaccarino Part of the Data-Driven Fluid Mechanics special issue #autoencoders #multifidelity