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TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Reverse adaptivity?a new evolutionary tool for structural optimization
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Level set topology optimization of fluids in Stokes flow
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Generative Adversarial Nets
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Topology and Shape Optimization Procedures Using Hole Positioning Criteria
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3D and multiple load case bi-directional evolutionary structural optimization (BESO)
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Optimal shape design as a material distribution problem
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Generalized shape optimization without homogenization
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Bubble method for topology and shape optimization of structures
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Shape optimization of structures for multiple loading conditions using a homogenization method
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An optimal design problem with perimeter penalization
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Morphology-based black and white filters for topology optimization
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A 199-line Matlab code for Pareto-optimal tracing in topology optimization
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Stress-constrained topology optimization: a topological level-set approach
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Topology optimization approaches
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Deep learning for determining a near-optimal topological design without any iteration
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A density-and-strain-based K-clustering approach to microstructural topology optimization
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Metamorphic development: a new topology optimization method for continuum structures
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Material interpolation schemes in topology optimization
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Generating optimal topologies in structural design using a homogenization method
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A homogenization method for shape and topology optimization
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A simple evolutionary procedure for structural optimization
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Evolutionary structural optimization for problems with stiffness constraints
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One-shot generation of near-optimal topology through theory-driven machine learning
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On interpreting load paths and identifying a load bearing topology from finite element analysis
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Investigation into the topology optimization for conductive heat transfer based on deep learning approach
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Structural optimization using sensitivity analysis and a level-set method
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Review on design and structural optimisation in additive manufacturing: Towards next-generation lightweight structures
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A level set method for structural topology optimization
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Some convergence results in perimeter-controlled topology optimization
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On various aspects of evolutionary structural optimization for problems with stiffness constraints
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A level-set method for shape optimization
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Multidisciplinary design optimisation (MDO) methods: their synergy with computer technology in the design process
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A data-driven investigation and estimation of optimal topologies under variable loading configurations
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Load paths and load flow in finite element analysis
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A procedure for determining load paths in elastic continua
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Evolutionary structural optimisation (ESO) using a bidirectional algorithm
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Fully convolutional networks for semantic segmentation
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Deep Residual Learning for Image Recognition
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Image-to-Image Translation with Conditional Adversarial Networks
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Squeeze-and-Excitation Networks
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Squeeze-and-Excitation Networks
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Topology optimization of continuum structures: A review*
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Optimal Partitioning and Coordination Decisions in Decomposition-Based Design Optimization
inferredcites →https://doi.org/10.1115/1.4041319openalex-snapshot
Machine Learning-Driven Real-Time Topology Optimization Under Moving Morphable Component-Based Framework
inferredcites →https://doi.org/10.1115/1.4044097openalex-snapshot
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1115/1.4044229openalex-snapshot
Deep Generative Design: Integration of Topology Optimization and Generative Models
inferredcites →https://doi.org/10.1115/1.4044256openalex-snapshot
Learning to Design From Humans: Imitating Human Designers Through Deep Learning
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A Comparative Evaluation of Supervised Machine Learning Classification Techniques for Engineering Design Applications
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Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing
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Topology Design With Conditional Generative Adversarial Networks
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3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders
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Lightweight structure design under force location uncertainty
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Proportional Topology Optimization: A New Non-Sensitivity Method for Solving Stress Constrained and Minimum Compliance Problems and Its Implementation in MATLAB
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Neural networks for topology optimization
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Special Section on Multidisciplinary Design Optimization: Multidisciplinary Design Optimization of Dynamic Engineering Systems
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An Indirect Design Representation for Topology Optimization Using Variational Autoencoder and Style Transfer
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GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.4271/2019-01-0829openalex-snapshot
Application of Adversarial Networks for 3D Structural Topology Optimization
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Conditional Generative Adversarial Nets
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Adam: A Method for Stochastic Optimization
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Generative adversarial network for early-stage design flexibility in topology optimization for additive manufacturing
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Trajectory of building and structural design automation from generative design towards the integration of deep generative models and optimization: A review
inferred← citeshttps://doi.org/10.1016/j.matdes.2021.110179openalex-snapshot
A deep learning approach for efficient topology optimization based on the element removal strategy
inferred← citeshttps://doi.org/10.1016/j.matdes.2025.114302openalex-snapshot
Image-based Artificial Intelligence-driven modelling for blank shape optimisation in sheet metal forming
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Double-task physics-informed neural network for the prediction of PM2.5 concentration
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Quantification and reduction of uncertainty in aerodynamic performance of GAN-generated airfoil shapes using MC dropouts
inferred← citeshttps://doi.org/10.1016/j.tws.2024.112157openalex-snapshot
Efficient graph representation in graph neural networks for stress predictions in stiffened panels
inferred← citeshttps://doi.org/10.1016/j.tws.2026.115352openalex-snapshot
A physics-informed Deep Isogeometric Topology Optimization framework for designs of continuum structures using double pathway networks
inferred← citeshttps://doi.org/10.1017/pds.2022.161openalex-snapshot
An AI-Assisted Design Method for Topology Optimization without Pre-Optimized Training Data
inferred← citeshttps://doi.org/10.1017/pds.2022.185openalex-snapshot
Generative Pre-Trained Transformer for Design Concept Generation: An Exploration
inferred← citeshttps://doi.org/10.1017/pds.2024.198openalex-snapshot
Generative large language models in engineering design: opportunities and challenges
inferred← citeshttps://doi.org/10.1038/s41598-025-24600-9openalex-snapshot
Enhancing product concept image generation through semantic feature prompts and LoRA training
inferred← citeshttps://doi.org/10.1038/s41598-025-92793-0openalex-snapshot
Two stage multiobjective topology optimization method via SwinUnet with enhanced generalization
inferred← citeshttps://doi.org/10.1038/s42256-023-00762-xopenalex-snapshot
Inverse design of nonlinear mechanical metamaterials via video denoising diffusion models
inferred← citeshttps://doi.org/10.1063/5.0133054openalex-snapshot
Pore-scale modeling of multiphase flow in porous media using a conditional generative adversarial network (cGAN)
inferred← citeshttps://doi.org/10.1063/5.0246189openalex-snapshot
Diffusion models for topology optimization in 3D printing applications
inferred← citeshttps://doi.org/10.1080/0305215x.2024.2338189openalex-snapshot
Topology optimization based on improved DoubleU-Net using four boundary condition datasets
inferred← citeshttps://doi.org/10.1080/09544828.2026.2624356openalex-snapshot
Large language model agent as a mechanical designer
inferred← citeshttps://doi.org/10.1080/15397734.2026.2709797openalex-snapshot
Fast surrogate prediction of SIMP-based structural topology optimization using dual-branch attention fusion
inferred← citeshttps://doi.org/10.1088/1361-6420/ad3334openalex-snapshot
Machine learning for structural design models of continuous beam systems via influence zones
inferred← citeshttps://doi.org/10.1088/2632-2153/adb3efopenalex-snapshot
dCG—differentiable connected geometries for AI-compatible multi-domain optimization and inverse design
inferred← citeshttps://doi.org/10.1093/jcde/qwad025openalex-snapshot
An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design
inferred← citeshttps://doi.org/10.1093/jcde/qwad046openalex-snapshot
Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization
inferred← citeshttps://doi.org/10.1093/jcde/qwad070openalex-snapshot
Data-driven intelligent computational design for products: method, techniques, and applications
inferred← citeshttps://doi.org/10.1093/jcde/qwad072openalex-snapshot
Topology optimization via machine learning and deep learning: a review
inferred← citeshttps://doi.org/10.1093/jcde/qwae039openalex-snapshot
Equivariant neural operators for gradient-consistent topology optimization
inferred← citeshttps://doi.org/10.1093/jcde/qwae084openalex-snapshot
Deep generative model-based synthesis framework of four-bar linkage mechanisms with target conditions
inferred← citeshttps://doi.org/10.1093/jcde/qwag055openalex-snapshot
A human-guided generative model based on diffusion processes for topology optimization
inferred← citeshttps://doi.org/10.1098/rspa.2023.0221openalex-snapshot
Computational synthesis of wheeled vehicles via multi-layer topology optimization
inferred← citeshttps://doi.org/10.1103/physreve.106.065304openalex-snapshot
Biphysical undetectable concentrators manipulating both heat flux and direct current via topology optimization
inferred← citeshttps://doi.org/10.1109/access.2025.3569404openalex-snapshot
mcGANs: Topology Optimization Using Multi-Stage CGAN
inferred← citeshttps://doi.org/10.1109/access.2026.3715238openalex-snapshot
A Comprehensive Survey of Generative AI: Applications and Future Directions Across Domains
inferred← citeshttps://doi.org/10.1109/icmla58977.2023.00244openalex-snapshot
DADO – Low-Cost Query Strategies for Deep Active Design Optimization
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191911openalex-snapshot
Semi-supervised GAN with sparse ground truth as Boundary Conditions
inferred← citeshttps://doi.org/10.1109/iri51335.2021.00008openalex-snapshot
CCFD-Net: A novel deep learning model for credit card fraud detection
inferred← citeshttps://doi.org/10.1115/1.4053469openalex-snapshot
Deep Generative Tread Pattern Design Framework for Efficient Conceptual Design
inferred← citeshttps://doi.org/10.1115/1.4053859openalex-snapshot
Deep Generative Models in Engineering Design: A Review
inferred← citeshttps://doi.org/10.1115/1.4054687openalex-snapshot
SuperMeshing: Boosting the Mesh Density of Stress Field in Plane-Strain Problems Using Deep Learning Method
inferred← citeshttps://doi.org/10.1115/1.4055123openalex-snapshot
The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design
inferred← citeshttps://doi.org/10.1115/1.4055377openalex-snapshot
Multiphysics Design Optimization via Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1115/1.4055505openalex-snapshot
Neural Network-Assisted Design: A Study of Multiscale Topology Optimization With Smoothly Graded Cellular Structures
inferred← citeshttps://doi.org/10.1115/1.4056929openalex-snapshot
Multidisciplinary Topology Optimization Using Generative Adversarial Networks for Physics-Based Design Enhancement
inferred← citeshttps://doi.org/10.1115/1.4062352openalex-snapshot
A 3D Structure Mapping-Based Efficient Topology Optimization Framework
inferred← citeshttps://doi.org/10.1115/1.4062663openalex-snapshot
Concurrent Build Direction, Part Segmentation, and Topology Optimization for Additive Manufacturing Using Neural Networks
inferred← citeshttps://doi.org/10.1115/1.4062966openalex-snapshot
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
inferred← citeshttps://doi.org/10.1115/1.4062980openalex-snapshot
Generative Design by Embedding Topology Optimization into Conditional Generative Adversarial Network
inferred← citeshttps://doi.org/10.1115/1.4063891openalex-snapshot
An Automatic High-Precision Calibration Method of Legs and Feet for Quadruped Robots Using Machine Vision and Artificial Neural Networks
inferred← citeshttps://doi.org/10.1115/1.4064131openalex-snapshot
Topology Optimization Using Neural Networks With Conditioning Field Initialization for Improved Efficiency
inferred← citeshttps://doi.org/10.1115/1.4064215openalex-snapshot
Deep Learning in Computational Design Synthesis: A Comprehensive Review
inferred← citeshttps://doi.org/10.1115/1.4064490openalex-snapshot
Adaptation Through Communication: Assessing Human–Artificial Intelligence Partnership for the Design of Complex Engineering Systems
inferred← citeshttps://doi.org/10.1115/1.4064565openalex-snapshot
Human Designers' Dynamic Confidence and Decision-Making When Working With More Than One Artificial Intelligence
inferred← citeshttps://doi.org/10.1115/1.4066102openalex-snapshot
Mean Squared Error May Lead You Astray When Optimizing Your Inverse Design Methods
inferred← citeshttps://doi.org/10.1115/1.4066224openalex-snapshot
Data-Efficient Dimensionality Reduction and Surrogate Modeling of High-Dimensional Stress Fields
inferred← citeshttps://doi.org/10.1115/1.4067089openalex-snapshot
DeepJEB: 3D Deep Learning-Based Synthetic Jet Engine Bracket Dataset
inferred← citeshttps://doi.org/10.1115/1.4067528openalex-snapshot
Multi-Lattice Topology Optimization Via Generative Lattice Modeling
inferred← citeshttps://doi.org/10.1115/1.4067619openalex-snapshot
Vision-Language Models for Design Concept Generation: An Actor–Critic Framework
inferred← citeshttps://doi.org/10.1115/1.4069499openalex-snapshot
ConceptVis: Exploring and Visualizing Design Concepts With Large Language Models Using Interactive Knowledge Graph
inferred← citeshttps://doi.org/10.1115/1.4070033openalex-snapshot
Principles and Metrics for Curating Large Engineering Simulation Datasets for Machine Learning
inferred← citeshttps://doi.org/10.1115/1.4070621openalex-snapshot
When is it Actually Worth Learning Inverse Design?
inferred← citeshttps://doi.org/10.1115/1.4071593openalex-snapshot
CH-WGAN: Uncertainty-Aware Generative Design of Three-Dimensional Aperiodic Architected Cellular Materials Via Signed Distance Fields
inferred← citeshttps://doi.org/10.1115/1.4071715openalex-snapshot
Meta-Initialized Hierarchical Surrogate Optimization for Computationally Efficient Topology Optimization
inferred← citeshttps://doi.org/10.1115/1.4072720openalex-snapshot
Ceci N’est Pas un Drone: Investigation of the Impact of Design Representation on Design Decision-Making When Considering Artificial Intelligence-Generated Designs
inferred← citeshttps://doi.org/10.1142/s0219876221420135openalex-snapshot
Material Design with Topology Optimization Based on the Neural Network
inferred← citeshttps://doi.org/10.1142/s0219876223410074openalex-snapshot
A Structural-Similarity Conditional GAN Method to Generate Real-Time Topology for Shell–Infill Structures
inferred← citeshttps://doi.org/10.1145/3847303openalex-snapshot
Design for Machinability: Topology Optimization for Subtractive Machining Using Trimmed Neural Fields
inferred← citeshttps://doi.org/10.12677/jsta.2024.121003openalex-snapshot
Topology Optimization Based on Diffusion Model
inferred← citeshttps://doi.org/10.12794/metadc2137631openalex-snapshot
Rapid, Approximate Multi-Axis Vibration Testing
inferred← citeshttps://doi.org/10.1364/ao.470494openalex-snapshot
Two-stage neural network via sensitivity learning for 2D photonic crystal bandgap maximization
inferred← citeshttps://doi.org/10.1609/aaai.v37i8.26093openalex-snapshot
Diffusion Models Beat GANs on Topology Optimization
inferred← citeshttps://doi.org/10.17771/pucrio.acad.63238openalex-snapshot
AVALIAÇÃO DE ALGORITMOS PARA OTIMIZAÇÃO TOPOLÓGICA DE ESTRUTURAS
inferred← citeshttps://doi.org/10.18321/ectj1471openalex-snapshot
Reduction of Material Usage in 3D Printable Structures Using Topology Optimization Accelerated with U-Net Convolutional Neural Network
inferred← citeshttps://doi.org/10.2172/1968165openalex-snapshot
Rapid, Approximate Multi-Axis Vibration Testing [Thesis]
inferred← citeshttps://doi.org/10.25046/aj060427openalex-snapshot
A New Topology Optimization Approach by Physics-Informed Deep Learning Process
inferred← citeshttps://doi.org/10.2514/1.j062083openalex-snapshot
Multi-Head Self-Attention Generative Adversarial Networks for Multiphysics Topology Optimization
inferred← citeshttps://doi.org/10.2514/1.j062195openalex-snapshot
Theory of Machine Learning Assisted Structural Optimization Algorithm and Its Application
inferred← citeshttps://doi.org/10.2514/6.2022-0802openalex-snapshot
Topology Optimization Integrated Deep Learning for Multiphysics Problems
inferred← citeshttps://doi.org/10.2514/6.2022-3726openalex-snapshot
Multi-Head Self-Attention GANs for Multiphysics Topology Optimization
inferred← citeshttps://doi.org/10.2514/6.2023-0950openalex-snapshot
Application of Machine Learning in Rapid Generation of Support-free, Topologically-optimised Structures
inferred← citeshttps://doi.org/10.2514/6.2023-4375openalex-snapshot
Machine Learning Surrogates for Optimal 2D Spatial Packaging of Interconnected Systems with Physics Interactions (SPI2)
inferred← citeshttps://doi.org/10.31399/asm.hb.v24a.a0006950openalex-snapshot
Simulation-Driven Design and the Role of Optimization in Design for Additive Manufacturing
inferred← citeshttps://doi.org/10.32604/cmes.2021.016737openalex-snapshot
An Improved Data-Driven Topology Optimization Method Using Feature Pyramid Networks with Physical Constraints
inferred← citeshttps://doi.org/10.32604/cmes.2024.048118openalex-snapshot
Multi-Material Topology Optimization of 2D Structures Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/app13010479openalex-snapshot
Computational Acceleration of Topology Optimization Using Deep Learning
inferred← citeshttps://doi.org/10.3390/app15052413openalex-snapshot
A Computational Sketch-Based Approach Towards Optimal Product Design Solutions
inferred← citeshttps://doi.org/10.3390/app15052753openalex-snapshot
Sketch-Guided Topology Optimization with Enhanced Diversity for Innovative Structural Design
inferred← citeshttps://doi.org/10.3390/app15084399openalex-snapshot
MC Classifier: A Classifier for 3D Mechanical Components Based on Geometric Prior Using Graph Neural Network and Attention
inferred← citeshttps://doi.org/10.3390/buildings14123825openalex-snapshot
Optimization of Single-Layer Reticulate Shell Assembly Sequence Using Deep Reinforcement Learning Graph Embedding Method
inferred← citeshttps://doi.org/10.3390/inventions9040070openalex-snapshot
Adaptive Variable Design Algorithm for Improving Topology Optimization in Additive Manufacturing Guided Design
inferred← citeshttps://doi.org/10.3390/ma14247680openalex-snapshot
Intelligent Generation Method of Innovative Structures Based on Topology Optimization and Deep Learning
inferred← citeshttps://doi.org/10.3390/ma16113946openalex-snapshot
Advances in Computational Techniques for Bio-Inspired Cellular Materials in the Field of Biomechanics: Current Trends and Prospects
inferred← citeshttps://doi.org/10.3390/machines11040460openalex-snapshot
A Study on Using Location-Information-Based Flow Field Reconstruction to Model the Characteristics of a Discharging Valve in a Hydrodynamic Retarder
inferred← citeshttps://doi.org/10.3390/machines13070550openalex-snapshot
A Neural Network-Based Approach to Estimate Printing Time and Cost in L-PBF Projects
inferred← citeshttps://doi.org/10.35199/dfx2021.11openalex-snapshot
Synthetic Data Generation for Deep Learning Models
inferred← citeshttps://doi.org/10.4208/cicp.oa-2024-0308openalex-snapshot
A Diffusion Model Based Iterative Convolution Thresholding Method for Structural Topological Optimization
inferred← citeshttps://doi.org/10.48550/arxiv.2010.03370openalex-snapshot
A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations
inferred← citeshttps://doi.org/10.48550/arxiv.2010.11833openalex-snapshot
Shape related constraints aware generation of Mechanical Designs through Deep Convolutional GAN
inferred← citeshttps://doi.org/10.48550/arxiv.2104.13199openalex-snapshot
Rapid feasibility assessment of components formed through hot stamping: A deep learning approach
inferred← citeshttps://doi.org/10.48550/arxiv.2106.05710openalex-snapshot
DNN-Based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
inferred← citeshttps://doi.org/10.5194/gmd-18-3707-2025openalex-snapshot
Knowledge-inspired fusion strategies for the inference of PM 2.5 values with a neural network
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