Research graph
References from Stress Field Prediction and DIC-Informed Spatial Regularization for AlSi10Mg Alloy Tensile Specimens Based on Graph Neural Networks. Local targets link to admitted publications; unresolved targets remain external evidence.
10.3390/ma16124287
10.3390/ma16124287 · External reference
Controlling mechanical properties and energy absorption in AlSi10Mg lattice structures through solution and aging heat treatments
10.1016/j.msea.2023.145843 · 2024 · External reference
10.3390/met12060898
10.3390/met12060898 · External reference
Unresolved reference
External reference
Predicting stress, strain and deformation fields in materials and structures with graph neural networks
10.1038/s41598-022-26424-3 · 2022 · External reference
10.3389/fmats.2023.1128954
10.3389/fmats.2023.1128954 · External reference
Physics-informed MeshGraphNets (PI-MGNs): Neural Finite Element Solvers for Non-Stationary and Nonlinear Simulations on Arbitrary Meshes
10.1016/j.cma.2024.117102 · 2024 · External reference
DeepDIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement
10.1016/j.jmatprotec.2021.117474 · 2022 · External reference
10.3390/s23177445
10.3390/s23177445 · External reference
Proper Orthogonal Decomposition and Radial Basis Functions in material characterization based on instrumented indentation
10.1016/j.engstruct.2010.11.006 · 2011 · External reference
Parameter identification in elastoplastic material models by Small Punch Tests and inverse analysis with model reduction
10.1007/s11012-018-0914-3 · 2018 · External reference
Effect of post heat treatment on microstructure, mechanical property and corrosion behavior of AlSi10Mg alloy fabricated by selective laser melting
10.1016/j.pnsc.2024.02.001 · 2024 · External reference
A novel T6 rapid heat treatment for AlSi10Mg alloy produced by Laser-Based Powder Bed Fusion: Comparison with T5 and conventional T6 heat treatments
10.1007/s11663-021-02365-6 · 2022 · External reference
Effects of build orientation and heat treatments on the tensile and fracture toughness properties of additively manufactured AlSi10Mg
10.1016/j.ijmecsci.2021.106868 · 2022 · External reference
10.3390/met15010092
10.3390/met15010092 · External reference
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
1979 · External reference
A Crystal Plasticity Model of Residual Stress in Additive Manufacturing Using the Element Elimination and Reactivation Method
10.1007/s00466-021-02116-z · 2022 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Neural networks for fatigue crack propagation predictions in real-time under uncertainty
10.1016/j.compstruc.2023.107157 · 2023 · External reference
10.3390/ma18235294
10.3390/ma18235294 · External reference
Low-cycle fatigue life prediction of titanium alloy using genetic algorithm-optimized BP artificial neural network
10.1016/j.ijfatigue.2023.107609 · 2023 · External reference
10.3390/ma17174319
10.3390/ma17174319 · External reference
Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network
10.1016/j.ress.2023.109547 · 2023 · External reference
Failure analysis and on-line damage monitoring based on deep-learning for thermo-oxidative aged 3D angle-interlock woven composites under tension
10.1016/j.engfailanal.2025.109484 · 2025 · External reference
10.3390/ma18102285
10.3390/ma18102285 · External reference
10.3390/ma18051119
10.3390/ma18051119 · External reference
Size effect on fatigue performance of SLM-ed AlSi10Mg alloy: Role of defect size distribution
10.1016/j.ijfatigue.2024.108163 · 2024 · External reference
Size-Effects Affecting the Fatigue Response up to 109 Cycles (VHCF) of SLM AlSi10Mg Specimens Produced in Horizontal and Vertical Directions
10.1016/j.ijfatigue.2022.106825 · 2022 · External reference
Simulated effect of defect volume and location on very high cycle fatigue of laser beam powder bed fused AlSi10Mg
10.1016/j.ijfatigue.2025.108926 · 2025 · External reference
High-cycle and very-high-cycle fatigue of an additively manufactured aluminium alloy under axial cycling at ultrasonic and conventional frequencies
10.1016/j.ijfatigue.2024.108363 · 2024 · External reference
Review on the fatigue strength of additively manufactured metal materials under the very high cycle fatigue
10.1111/ffe.14532 · 2025 · External reference
Effects of direct aging treatment on microstructure, mechanical properties and residual stress of selective laser melted AlSi10Mg alloy
10.1016/j.jmst.2022.08.032 · 2023 · External reference
A systematic review on high cycle and very high cycle fatigue behavior of laser powder bed fused (L-PBF) Al-Si alloys
10.1016/j.engfailanal.2023.107667 · 2023 · External reference
Effects of post heat treatment on the microstructure and mechanical properties of selective laser melted AlSi10Mg alloys
10.1016/j.msea.2024.146195 · 2024 · External reference
Metal additive manufacturing in aerospace: A review
10.1016/j.matdes.2021.110008 · 2021 · External reference
An overview of modern metal additive manufacturing technology
10.1016/j.jmapro.2022.10.060 · 2022 · External reference
Porosity defects in additively manufactured metal materials: Formation mechanisms, impact on performance and regulation
10.1177/09506608251371459 · 2025 · External reference
Challenges in additive manufacturing of high-strength aluminium alloys and current developments in hybrid additive manufacturing
2021 · External reference
10.3390/app11031213
10.3390/app11031213 · External reference
10.3390/met14010076
10.3390/met14010076 · External reference
10.3390/ma16134754
10.3390/ma16134754 · External reference
10.20944/preprints202305.1034.v1
10.20944/preprints202305.1034.v1 · External reference
A Crystal Plasticity Model of Residual Stress in Additive Manufacturing Using the Element Elimination and Reactivation Method
10.1007/s00466-021-02116-z · ExternalCitation · doi-reference
Parameter identification in elastoplastic material models by Small Punch Tests and inverse analysis with model reduction
10.1007/s11012-018-0914-3 · ExternalCitation · doi-reference
A novel T6 rapid heat treatment for AlSi10Mg alloy produced by Laser-Based Powder Bed Fusion: Comparison with T5 and conventional T6 heat treatments
10.1007/s11663-021-02365-6 · ExternalCitation · doi-reference
Physics-informed MeshGraphNets (PI-MGNs): Neural Finite Element Solvers for Non-Stationary and Nonlinear Simulations on Arbitrary Meshes
10.1016/j.cma.2024.117102 · ExternalCitation · doi-reference
Neural networks for fatigue crack propagation predictions in real-time under uncertainty
10.1016/j.compstruc.2023.107157 · ExternalCitation · doi-reference
A systematic review on high cycle and very high cycle fatigue behavior of laser powder bed fused (L-PBF) Al-Si alloys
10.1016/j.engfailanal.2023.107667 · ExternalCitation · doi-reference
Failure analysis and on-line damage monitoring based on deep-learning for thermo-oxidative aged 3D angle-interlock woven composites under tension
10.1016/j.engfailanal.2025.109484 · ExternalCitation · doi-reference
Proper Orthogonal Decomposition and Radial Basis Functions in material characterization based on instrumented indentation
10.1016/j.engstruct.2010.11.006 · ExternalCitation · doi-reference
Size-Effects Affecting the Fatigue Response up to 109 Cycles (VHCF) of SLM AlSi10Mg Specimens Produced in Horizontal and Vertical Directions
10.1016/j.ijfatigue.2022.106825 · ExternalCitation · doi-reference
Low-cycle fatigue life prediction of titanium alloy using genetic algorithm-optimized BP artificial neural network
10.1016/j.ijfatigue.2023.107609 · ExternalCitation · doi-reference
Size effect on fatigue performance of SLM-ed AlSi10Mg alloy: Role of defect size distribution
10.1016/j.ijfatigue.2024.108163 · ExternalCitation · doi-reference
High-cycle and very-high-cycle fatigue of an additively manufactured aluminium alloy under axial cycling at ultrasonic and conventional frequencies
10.1016/j.ijfatigue.2024.108363 · ExternalCitation · doi-reference
Simulated effect of defect volume and location on very high cycle fatigue of laser beam powder bed fused AlSi10Mg
10.1016/j.ijfatigue.2025.108926 · ExternalCitation · doi-reference
Effects of build orientation and heat treatments on the tensile and fracture toughness properties of additively manufactured AlSi10Mg
10.1016/j.ijmecsci.2021.106868 · ExternalCitation · doi-reference
An overview of modern metal additive manufacturing technology
10.1016/j.jmapro.2022.10.060 · ExternalCitation · doi-reference
DeepDIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement
10.1016/j.jmatprotec.2021.117474 · ExternalCitation · doi-reference
Effects of direct aging treatment on microstructure, mechanical properties and residual stress of selective laser melted AlSi10Mg alloy
10.1016/j.jmst.2022.08.032 · ExternalCitation · doi-reference
Metal additive manufacturing in aerospace: A review
10.1016/j.matdes.2021.110008 · ExternalCitation · doi-reference
Controlling mechanical properties and energy absorption in AlSi10Mg lattice structures through solution and aging heat treatments
10.1016/j.msea.2023.145843 · ExternalCitation · doi-reference
Effects of post heat treatment on the microstructure and mechanical properties of selective laser melted AlSi10Mg alloys
10.1016/j.msea.2024.146195 · ExternalCitation · doi-reference
Effect of post heat treatment on microstructure, mechanical property and corrosion behavior of AlSi10Mg alloy fabricated by selective laser melting
10.1016/j.pnsc.2024.02.001 · ExternalCitation · doi-reference
Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian Boundary Aware Convolutional Network
10.1016/j.ress.2023.109547 · ExternalCitation · doi-reference
Predicting stress, strain and deformation fields in materials and structures with graph neural networks
10.1038/s41598-022-26424-3 · ExternalCitation · doi-reference
Review on the fatigue strength of additively manufactured metal materials under the very high cycle fatigue
10.1111/ffe.14532 · ExternalCitation · doi-reference
Porosity defects in additively manufactured metal materials: Formation mechanisms, impact on performance and regulation
10.1177/09506608251371459 · ExternalCitation · doi-reference
10.20944/preprints202305.1034.v1
10.20944/preprints202305.1034.v1 · ExternalCitation · doi-reference
10.3389/fmats.2023.1128954
10.3389/fmats.2023.1128954 · ExternalCitation · doi-reference
10.3390/app11031213
10.3390/app11031213 · ExternalCitation · doi-reference
10.3390/ma16124287
10.3390/ma16124287 · ExternalCitation · doi-reference
10.3390/ma16134754
10.3390/ma16134754 · ExternalCitation · doi-reference
10.3390/ma17174319
10.3390/ma17174319 · ExternalCitation · doi-reference
10.3390/ma18051119
10.3390/ma18051119 · ExternalCitation · doi-reference
10.3390/ma18102285
10.3390/ma18102285 · ExternalCitation · doi-reference
10.3390/ma18235294
10.3390/ma18235294 · ExternalCitation · doi-reference
10.3390/met12060898
10.3390/met12060898 · ExternalCitation · doi-reference
10.3390/met14010076
10.3390/met14010076 · ExternalCitation · doi-reference
10.3390/met15010092
10.3390/met15010092 · ExternalCitation · doi-reference
10.3390/s23177445
10.3390/s23177445 · ExternalCitation · doi-reference
