DMF-TONN: Direct Mesh-free Topology Optimization using Neural Networks

Physics-informed neural energy-force network: a unified solver-free numerical simulation for structural optimization

(2023) Hau T. Mai et al.   ENGINEERING WITH COMPUTERS

Topology optimization via implicit neural representations

(2023) Zeyu Zhang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Concurrent Build Direction, Part Segmentation, and Topology Optimization for Additive Manufacturing Using Neural Networks

(2023) Hongrui Chen et al.   JOURNAL OF MECHANICAL DESIGN

On the use of artificial neural networks in topology optimisation

(2022) Rebekka V. Woldseth et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Deep energy method in topology optimization applications

(2022) Junyan He et al.   ACTA MECHANICA

A Physics-Informed Neural Network-based Topology Optimization (PINNTO) framework for structural optimization

(2022) Hyogu Jeong et al.   ENGINEERING STRUCTURES

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

(2021) Zhenguo Nie et al.   JOURNAL OF MECHANICAL DESIGN

Multi-Material Topology Optimization Using Neural Networks

(2021) Aaditya Chandrasekhar et al.   COMPUTER-AIDED DESIGN

Real-Time Topology Optimization in 3D via Deep Transfer Learning

(2021) Mohammad Mahdi Behzadi et al.   COMPUTER-AIDED DESIGN

Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design

(2020) Hao Deng et al.   COMPUTATIONAL MECHANICS

An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

(2020) E. Samaniego et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A deep energy method for finite deformation hyperelasticity

(2019) Vien Minh Nguyen-Thanh et al.   EUROPEAN JOURNAL OF MECHANICS A-SOLIDS

Multiscale topology optimization using neural network surrogate models

(2018) Daniel A. White et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep learning for determining a near-optimal topological design without any iteration

(2018) Yonggyun Yu et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

An efficient 3D topology optimization code written in Matlab

(2014) Kai Liu et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Efficient topology optimization in MATLAB using 88 lines of code

(2010) Erik Andreassen et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION