Research graph
References from Physics-informed spatio-temporal hybrid learning for full-field residual stress reconstruction in laser. Local targets link to admitted publications; unresolved targets remain external evidence.
Effect of inhomogeneous microstructure on the deformation and fracture mechanisms of 316LN stainless steel multi-pass weld joint using small punch test
10.1016/j.jnucmat.2020.152239 · 2020 · External reference
Effect of metallurgical variables on the stress corrosion crack growth behaviour of AISI type 316LN stainless steel
10.1016/j.corsci.2009.12.031 · 2010 · External reference
Development and trends of laser welding technology
2024 · External reference
Process characteristics of laser beam welding at reduced ambient pressure
2013 · External reference
Unresolved reference
2002 · External reference
Unresolved reference
2021 · External reference
Distortion and residual stresses in thick plate weld joint of austenitic stainless steel: Experiments and analysis
10.1016/j.jmatprotec.2020.116944 · 2021 · External reference
Cross-sectional mapping of residual stresses by measuring the surface contour after a cut
10.1115/1.1345526 · 2001 · External reference
Measurement of through-thickness stresses using small holes
10.1243/0309324021514899 · 2002 · External reference
Unresolved reference
2005 · External reference
Three-dimensional model for numerical analysis of thermal phenomena in laser–arc hybrid welding process
10.1016/j.ijheatmasstransfer.2011.07.010 · 2011 · External reference
Effects of heat source geometric parameters and arc efficiency on welding temperature field, residual stress, and distortion in thin-plate full-penetration welds
10.1007/s00170-018-2516-6 · 2018 · External reference
Numerical simulation of welding residual stresses in 6082-T6 thin aluminum alloy
10.1016/j.measurement.2024.114800 · 2024 · External reference
Simulation and experiment on residual stress and deflection of cruciform welded joints
10.1016/j.jcsr.2023.108023 · 2023 · External reference
Numerical and experimental investigation on the weld-induced deformation and residual stress in stiffened plates with brackets
10.1007/s00170-016-8347-4 · 2016 · External reference
Predicting welding residual stresses in a dissimilar metal girth welded pipe using 3D finite element model with a simplified heat source
10.1016/j.nucengdes.2010.11.010 · 2011 · External reference
Machine learning applications in welding processes: progresses and opportunities
10.1016/j.ijmachtools.2025.104344 · 2025 · External reference
Prediction of residual stresses in welded structures based on neural network: a review
10.1007/s10853-024-10178-6 · 2024 · External reference
POD-based model reduction with empirical interpolation applied to nonlinear elasticity
10.1002/nme.5177 · 2016 · External reference
A probabilistic graphical model foundation for enabling predictive digital twins at scale
10.1038/s43588-021-00069-0 · 2021 · External reference
Residual stress prediction of arc welded austenitic pipes with artificial neural network ensemble using experimental data
10.1016/j.ijpvp.2023.104954 · 2023 · External reference
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems
10.1016/j.asoc.2018.05.017 · 2018 · External reference
Evolutionary fuzzy SVR modeling of weld residual stress
10.1016/j.asoc.2016.01.050 · 2016 · External reference
Neuro evolutionary model for weld residual stress prediction
10.1016/j.asoc.2013.08.019 · 2014 · External reference
Particle swarm optimization: A comprehensive survey
10.1109/access.2022.3142859 · 2022 · External reference
Physics-guided machine learning and process analysis for residual stress prediction in circumferential welded SUS316L pipelines
10.1016/j.measurement.2025.119600 · 2026 · External reference
Machine learning-guided study of residual stress, distortion, and peak temperature in stainless steel laser welding
10.1007/s00339-024-08145-8 · 2025 · External reference
Unresolved reference
2022 · External reference
Deep learning prediction of stress fields in additively manufactured metals with intricate defect networks
10.1016/j.mechmat.2021.104191 · 2022 · External reference
Stressgan: A generative deep learning model for two-dimensional stress distribution prediction
10.1115/1.4049805 · 2021 · External reference
Federated learning-based offset-free distributed control of nonlinear networked systems with application to IIoT
2025 · External reference
Optimal energy management of buildings using neural network-based thermal prediction and economic model predictive control
10.1016/j.aei.2025.104278 · 2026 · External reference
Category-guided graph convolution network for semantic segmentation
10.1109/tnse.2024.3448609 · 2024 · External reference
The prediction of residual stress of welding process based on deep neural network
2024 · External reference
Attention-based multi-fidelity deep neural network for efficient estimation of welding residual stresses in V-shaped butt-welded high strength steel plate
10.1016/j.eswa.2024.126137 · 2025 · External reference
A hybrid decoupled machine learning framework with physical constraints for predicting welding-induced residual stresses in steel girders
2026 · External reference
Toward an intelligent aluminum laser welded blanks (ALWBs) factory based on industry 4.0; a critical review and novel smart model
10.1016/j.optlastec.2023.109661 · 2023 · External reference
A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries
10.1063/5.0033376 · 2021 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2020 · External reference
Digital twin-driven framework for fatigue life prediction of welded structures considering residual stress
10.1016/j.ijfatigue.2024.108144 · 2024 · External reference
Understanding and mitigating gradient flow pathologies in physics-informed neural networks
10.1137/20m1318043 · 2021 · External reference
A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems
10.1016/j.jcp.2019.109020 · 2020 · External reference
Experimental analysis of overlap fiber laser welding for aluminum alloys: porosity recognition and quality inspection
10.1016/j.optlaseng.2023.107890 · 2024 · External reference
Multi-modal data fusion approach for real-time monitoring of industrial equipment
2025 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2010 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2015 · External reference
Image quality assessment: from error visibility to structural similarity
10.1109/tip.2003.819861 · 2004 · External reference
