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RESEARCH PAPER · International Journal of Mechanical Sciences · 2022

Deep learning-based heterogeneous strategy for customizing responses of lattice structures

Guoji Yu, Lijun Xiao, Weidong Song

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Deep learning-based heterogeneous strategy for customizing responses of lattice structuresOriginalA deep learning approach for inverse design of gradient mechanical metamaterials131Multi-objective Bayesian optimization accelerated design of TPMS structures68Artificial neural network in prediction of mixed-mode I/II fracture load66A database construction method for data-driven computational mechanics of composites38Mechanical properties and deformation behavior of functionally graded TPMS structures under static and dynamic loading185Energy absorption prediction for lattice structure based on D2 shape distribution and machine learning18Study on the Mechanical Behavior of a Dual-Density Hybrid Lattice Structure under Quasi-Static and Dynamic Compressions16A novel hybrid lattice structure for improving compression mechanical properties32Customizable plateau in face-centered cubic hierarchical lattices achieved by self-similar embedded design39Design and Strengthening Mechanisms of Dual-Phase Lattice Energy-Absorbing Structure Based On Shear-Banding Controlling4Mechanical Properties and Energy Absorption of Soft–Hard Dual Phase Lattice Structures Manufactured via Selective Laser Melting30Dynamic mechanical behavior of additively manufactured bio-inspired metallic lattice structure subjected to high strain rate impact loading76Synergetic control mechanism for enhancing energy-absorption of 3D-printed lattice structures40Mechanical response of functionally graded lattices with different density grading strategies43Optimization of Additively Manufactured and Lattice-Structured Hip Implants Using the Linear Regression Algorithm from the Scikit-Learn Library4Superior energy absorption characteristics of additively-manufactured hollow-walled lattices58Analytical solutions for equivalent elastic compliance of cubic lattice structures subjected to hypergravity conditions1Simulation-driven-design of metal lattice structures for a target stress–strain curve23Mechanical properties of additively manufactured lattice structures designed by deep learning81Deep learning-enabled design for tailored mechanical properties of SLM-manufactured metallic lattice structures48A machine learning method of accelerating multiscale analysis for spatially varying microstructures34光学元件脉冲离子束超精密智能修形策略 (封面文章·特邀)0Superior Strength, Toughness, and Damage‐Tolerance Observed in Microlattices of Aperiodic Unit Cells92Addressing manufacturing defects in architected materials via anisotropy: minimal viable case3Adaptive processing strategy of pulse ion beam for sub-nanometer precision optical components17Density Functional Theory-Assisted Active Learning-Driven Organic Ligand Design for CsPbBr3 Nanocrystals1Multi-failure theory of non-uniformly ring-stiffened composite shells under hydrostatic pressure15Large deformation response of a novel triply periodic minimal surface skeletal-based lattice metamaterial with high stiffness and energy absorption83A machine-learning based framework for design and characterization of honeycombs with partial self-similar hierarchical architectures3A Review of Nonlinear Control Strategies for Shape and Stress in Structural Engineering2Design, Manufacturing, and Analysis of Periodic Three-Dimensional Cellular Materials for Energy Absorption Applications: A Critical Review21Beyond the limits of parametric design: Latent space exploration strategy enabling ultra-broadband acoustic metamaterials24Inverse design of irregular architected materials with programmable stiffness based on deep learning19Machine learning predictions on the compressive stress–strain response of lattice-based metamaterials104Bi-metallic lattice structures manufactured via an intralayer multi-material powder bed fusion method26Broadband Sound Absorption and High Damage Resistance in a Turtle Shell‐Inspired Multifunctional Lattice: Neural Network‐Driven Design and Optimization20Topological optimisation and laser additive manufacturing of force-direction-sensitive NiTi porous structures with large deformation recovery behaviour20Ultra-stiff and quasi-elastic-isotropic triply periodic minimal surface structures designed by deep learning29Novel compliant mechanism-based auxetic metamaterial: Kinematic and experimental analysis20Designing three-dimensional lattice structures with anticipated properties through a deep learning method23High energy absorption design of porous metals using deep learning31Inverse design method for tailoring the deflection of beams with functionally graded metamaterials4Prediction of Mechanical Properties of Lattice Structures: An Application of Artificial Neural Networks Algorithms16Stochastic or deterministic: Duality of fatigue behaviour of 3D-printed meta-biomaterials5Development and Comparison of Model-Based and Data-Driven Approaches for the Prediction of the Mechanical Properties of Lattice Structures5Biomimetic Modular Honeycomb with Enhanced Crushing Strength and Flexible Customizability4Machine learning – enabled inverse design of shell-based lattice metamaterials with optimal sound and energy absorption66HyperCAN: Hypernetwork-driven deep parameterized constitutive models for metamaterials19Customizable metamaterial design for desired strain-dependent Poisson’s ratio using constrained generative inverse design network31Modeling and design of architected structures and metamaterials assisted with artificial intelligence6Machine learning accelerated design of lattice metamaterials for customizable energy absorption56Deep Generative Inverse Design of Mechanical Metamaterials with Customized Stress–Strain Behavior0Fatigue failure mechanisms and life prediction of additive manufactured metallic lattices: a comprehensive review33Machine Learning-Aided Examination of Energy Absorption and Mechanical Properties in Steel Lattice Structures2Machine learning in additive manufacturing: enhancing design, manufacturing and performance prediction intelligence22Functionally graded lattice structures for energy absorption: Numerical analysis and experimental validation31Generative deep learning for designing irregular metamaterials with programmable nonlinear mechanical responses30Design strategy of curved-beam based metamaterial with unprecedented lateral deformation mode transition9Buckling design of externally pressurized spherical shells based on physics-informed artificial neural network3An adjustable and controllable a priori design of lattice structure based on deep learning2Towards defect-free lattice structures in additive manufacturing: A holistic review of machine learning advancements29Machine learning-aided lattice optimization for ultra-lightweight 3D-printed aligners8Homogenization and artificial neural network prediction of elastic properties in triply periodic minimal surface structures7Mechanical anisotropy match of parameterized body-centered-cuboid scaffolds and trabecular bones7Inverse design of interpenetrating phase composites with targeted stiffness through deep learning8Additive manufacturing of topology optimized multi-functional cellular framework for enhanced energy absorption17Dynamic Behavior of Advanced Materials and Structures0Low-speed impact penetration characterization of sheet-based triply periodic minimal surfaces11Machine learning accelerates programmable mechanics in isotropic diamond plate lattices28Tunable bioinspired lattice metamaterials with excellent strength, energy absorption and vibration insulation23Band gap analysis and prediction for phononic metamaterials with different spiral shapes based on transfer learning5Bio-inspired wall thickness modulation of hybrid TPMS structures for enhanced energy absorption25Mechanical Behavior of Topology-Optimized Lattice Structures Fabricated by Additive Manufacturing17Recent advances in machine learning-assisted design of additive manufacturing metastructures: a review55Deep learning-based inverse design of programmable disordered metamaterials39A review on curve edge based architectures under lateral loads28Machine learning-optimized stochastic Voronoi lattices for enhanced mechanical performance7Mechanical performance and corrosion resistance predictions of 3D printed porous meta scaffolds4Study on Thermal Cloaks for Hexagon and Dodecahedron With Symmetry1Tunable compression response and enhanced mechanical properties of bio-inspired lattice structures with dual-stage stiffness8The Integrated Reverse Design of Load-Bearing Metamaterial Absorbers Based on Deep Learning0Review on Data‐ and Mathematics‐Driven Optimization for Metamaterial Lattice Structures4Data-enabled configuration-dependent homogenization method for metamaterial structures incorporating boundary effects11Machine learning-driven customizable mechanical design of diamond plate lattice metamaterials19AI-assisted design of 3D NPR lattice materials with programmable mechanical properties using irregular unit cells3Metallic lattice structures via additive manufacturing: Applications, challenges and opportunities in aerospace and defence22Machine learning for mechanical design of composite materials and composite structures8Numerically driven multi-scale optimization design for lattice structures with target mechanical properties2Design and performance study of novel medical composite lattice structures with low Poisson's ratio and high energy absorption characteristics0Inverse multi-objective design of three-dimensional plate-based heterogeneous mechanical metamaterials9Anisotropic butterfly-inspired lattice structures for enhanced impact resistance4Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing15Design and mechanical performance of a double-braided, additively manufactured stent with geometry-controlled expansion0Convolutional Neural Network and Image Processing-Based Approach for Homogenization of Lattice Structures0Revealing high-dimensional geometry–property relations in architected lattices via clustering-enabled explainable artificial intelligence1Machine-learning driven differentiable concurrent multiscale topology optimization framework for truss structures9Modelling the Mechanical Properties of Architected Cellular Solids for Structural Applications: A Review0Engineering bi-directional microstructural heterogeneity through mechanical surface treatment0Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials0Multiscale inverse design of mechanical cloaks via deep generative modeling0Directional deformation prediction of strut-based lattices via Gauss map embedding0Mechanical properties and energy absorption of nacre-inspired lattices0Lightweight Brain-Coral-Inspired Aperiodic Lattices with Tailored Strength and Energy Absorption0

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  7. Study on the Mechanical Behavior of a Dual-Density Hybrid Lattice Structure under Quasi-Static and Dynamic Compressions

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  9. Customizable plateau in face-centered cubic hierarchical lattices achieved by self-similar embedded design

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  10. Design and Strengthening Mechanisms of Dual-Phase Lattice Energy-Absorbing Structure Based On Shear-Banding Controlling

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  11. Mechanical Properties and Energy Absorption of Soft–Hard Dual Phase Lattice Structures Manufactured via Selective Laser Melting

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  12. Dynamic mechanical behavior of additively manufactured bio-inspired metallic lattice structure subjected to high strain rate impact loading

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  13. Synergetic control mechanism for enhancing energy-absorption of 3D-printed lattice structures

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  15. Optimization of Additively Manufactured and Lattice-Structured Hip Implants Using the Linear Regression Algorithm from the Scikit-Learn Library

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