
Data-Centric Engineering, a new #openaccess journal at the interface of engineering and data science. Published by @CambridgeUP and supported by @LR_Foundation.
Cambridge, UK
Joined June 2019
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Explore most read articles from Data-Centric Engineering.
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Recently published!
A data assimilation and machine learning approach for the numerical prediction of immersed bodies in oscillating motion
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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
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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
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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
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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
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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
Recent article!
Data-driven anomaly detection for graph-based formation control in a robot swarm
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By Philipp Ziegler, Ingeborg Wenger and Peter Eberhard
#anomaly #detection #robotswarm #formationcontrol
New article!
Generative prediction of laser-induced rocket ignition with dynamic latent space representations
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By Tony Zahtila, Ettore Saetta, Murray Cutforth, Davy Brouzet, Diego Rossinelli and Gianluca Iaccarino
#fastsurrogatemodel #autoencoder
New article!
An automated framework to characterize crack patterns in existing RC bridges
👉cup.org/4poMhTT
By Angelo Cardellicchio, Vito Renò, Agnese Natali, Vincenzo Mario Di Mucci, Andrea Nettis, Sergio Ruggieri and Giuseppina Uva
#AI #deeplearning
Recently published!
Mixed data-source transfer learning for a turbulence model augmented physics-informed neural network
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By Christian Toma, Bharathram Ganapathisubramani and Sean Symon
#physicsinformedneuralnetworks #PINNs #transferlearning #data



















