Data-Centric Engineering

New article! Making global sensitivity analysis feasible using neural network surrogates 👉 bit.ly/48DmfUJ By Gihan Weerasinghe, @ramaseshan_k and Samila Bandara (@Arup) #data #neuralnetwork #surrogatemodels #geotechnicalanalysis #engineering

Today's the Day! 📺 DCE WEBINAR: No Equations, No Variables, No Space and No Time: Data and the Modeling of Complex Systems with Ioannis Kevrekidis (@JohnsHopkins) ⏰ 1100 ET (US & Canada) | 1600 UK | 1700 CET ℹ️ bit.ly/3XFAALo #data #neural #networks

📺 DCE WEBINAR: No Equations, No Variables, No Space and No Time: Data and the Modeling of Complex Systemswith Ioannis Kevrekidis (@JohnsHopkins) 📅 Wednesday 10 December ⏰ 1100 ET (US & Canada) | 1600 UK | 1700 CET ℹ️ bit.ly/3XFAALo #data #neural #networks

New article! Projection-based model-order reduction via graph autoencoders suited for unstructured meshes 👉 bit.ly/44vljAv By @liam_magargal, Parisa Khodabakhshi, Steven Rodriguez, @JaworskiFSI and John Michopoulos #DeepLearning #GraphAutoencoders

New article! Interpretable and efficient data-driven discovery and control of distributed systems 👉bit.ly/449T0HJ By Florian Wolf, Nicolò Botteghi, Urban Fasel & Andrea Manzoni Part of Physics-Enhancing #MachineLearning special collection #autoencoder #data

New article! Adversarial disentanglement by backpropagation with physics-informed variational autoencoder 👉 bit.ly/4p6PRAo By Ioannis Christoforos Koune (@tudelft) & @ADvulab (@Cambridge_Eng) #generativemodels #MachineLearning #Physics

📢 Call for Papers: AI in Structural Engineering 🏗️ 🌆 DCE is collaborating with the recent #ARTISTE2025 Conference on a special collection that explores advances and possibilities for #AI in #structural #engineering. 🗓️Deadline: 1 Sep 2026 ℹ️Info: bit.ly/48E0lTd

New article! Evaluating and benchmarking data-driven performance forecasting techniques for infrastructure asset management 👉 bit.ly/3WbCUJk By Ze Zhou Wang, Zhaojie Sun, Abir Al-Tabbaa & Bachar Hakim (@Cambridge_Eng) #data #MachineLearning #engineering

Recently published! Mean flow data assimilation using physics-constrained graph neural networks 👉 bit.ly/4pWjZzH by Michele Quattromini (@PolibaOfficial), Michele Alessandro Bucci (@SAFRAN), Stefania Cherubini & Onofrio Semeraro #MachineLearning #surrogatemodelling

New article! Leveraging rules on integrated 3D semantic city models for validating scenarios of urban evolution 👉 bit.ly/4pXMa1j By Diego Vinasco-Alvarez, John Samuel, Sylvie Servigne and Gilles Gesquière (@insadelyon) #data #validation #semanticweb

📢 Call for Papers: AI in Structural Engineering 🏗️ 🏨 🌆 DCE is collaborating with the recent #ARTISTE2025 Conference on a special collection that explores advances and possibilities for #AI in #structural #engineering. 🗓️ Deadline: 1 Sep 2026 ℹ️ Info: bit.ly/48E0lTd

New article! Using graph neural networks and frequency domain data for automated operational modal analysis of populations of structures 👉 bit.ly/4mFGu9e By Xudong Jian, Yutong Xia, @gduthe_, Kiran Bacsa, Wei Liu and @Lne_Chatzi #DeepLearning #GraphNeuralNetworks

Also check out @tdavis5's earlier article for the journal for an engaging read on this topic Free to read, share and download here: bit.ly/42q40jr #robustness #parameterdesign #transmittedvariation #statisticalengineering #engineering

Did you miss our webinar on Transmitted Variation in Engineering Design with @tdavis5? Click for a recording of this informative event, revisiting & expanding upon Jim Morrison's influential 1957 work on transmitted variation in #engineering #design 🎥 bit.ly/46oSN5d

Recently published! Building Information Graphs (BIGs): remodeling building information for learning and applications 👉 bit.ly/4nqlQLr By @w_zijian & @rafael_sacks Find out why BIGs represent a paradigm shift in design technologies that bridge #AI & building design

Recently published! Industrial mobile robot-based manufacturing system modeling potential 👉 bit.ly/4gGkeuN By Miklós Boleraczki and István Gábor Gyurika #robot #mobilerobot #robotselection #robotics

New article! Harnessing hybrid digital twinning for decision-support in smart infrastructures 👉 bit.ly/3IIIm38 By Huangbin Liang, @BeatrizMoyaG, Eugene Seah, Ashley Ng Kwok Weng, Dominique Baillargeat, Jonas Joerin, Xiaozheng Zhang, Francisco Chinesta & @Lne_Chatzi

Today's the day! Join @tdavis5 for a webinar expanding upon Jim Morrison's influential 1957 work on transmitted variation in #engineering #design! Transmitted Variation in Engineering Design 🗓️24 September 2025 ⏰13:00 BST ℹ️cassyni.com/events/UMiSa21…

Recently published! Quasi-static contact-rich manipulation using dynamic movement primitives and haptic potential map 👉 bit.ly/3VOCpVj By Huu-Thiet Nguyen, Lin Yang, Chen Lv & Domenico Campolo (@NTUsg) #DMPs #hapticDMPs #physics #SLAM #Robotics

Only 1 week to go until our webinar with @tdavis5! Transmitted Variation in Engineering Design 🗓️24 September 2025 ⏰13:00 BST ℹ️cassyni.com/events/UMiSa21… This event will revisit & expand upon Jim Morrison's influential 1957 work on transmitted variation in #engineering #design