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

Physics-informed neural networks (PINNs) for fluid mechanics: a review

(2022) Shengze Cai et al.   ACTA MECHANICA SINICA

A general Neural Particle Method for hydrodynamics modeling

(2022) Jinshuai Bai et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A physics-informed neural network-based surrogate framework to predict moisture concentration and shrinkage of a plant cell during drying

(2022) C.P. Batuwatta-Gamage et al.   JOURNAL OF FOOD ENGINEERING

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

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

Two-stage convolutional encoder-decoder network to improve the performance and reliability of deep learning models for topology optimization

(2021) Gorkem Can Ates et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

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

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

Efficient, high-resolution topology optimization method based on convolutional neural networks

(2021) Liang Xue et al.   Frontiers of Mechanical Engineering

Accurate and real-time structural topology prediction driven by deep learning under moving morphable component-based framework

(2021) Shuai Zheng et al.   APPLIED MATHEMATICAL MODELLING

A physics-guided neural network framework for elastic plates: Comparison of governing equations-based and energy-based approaches

(2021) Wei Li et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

TONR: An exploration for a novel way combining neural network with topology optimization

(2021) Zeyu Zhang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

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

Topology optimization of 2D structures with nonlinearities using deep learning

(2020) Diab W. Abueidda et al.   COMPUTERS & STRUCTURES

A new data-driven topology optimization framework for structural optimization

(2020) Ying Zhou et al.   COMPUTERS & STRUCTURES

SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

(2020) Ehsan Haghighat et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Topology optimization and 3D printing of large deformation compliant mechanisms for straining biological tissues

(2020) P. Kumar et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Neural networks for topology optimization

(2019) Ivan Sosnovik et al.   RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

(2019) Ameya D. Jagtap et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Influence of Density-Based Topology Optimization Parameters on the Design of Periodic Cellular Materials

(2019) Hugo A. Alvarez et al.   Materials

Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities

(2018) Eni Halilaj et al.   JOURNAL OF BIOMECHANICS

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

The Effect of FEM Mesh Density on the Failure Probability Analysis of Structures

(2017) Alireza Ghavidel et al.   KSCE Journal of Civil Engineering

Bi-directional Evolutionary Structural Optimization on Advanced Structures and Materials: A Comprehensive Review

(2016) Liang Xia et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

A simple and compact Python code for complex 3D topology optimization

(2015) Zhi Hao Zuo et al.   ADVANCES IN ENGINEERING SOFTWARE

Topology Optimization in Aircraft and Aerospace Structures Design

(2015) Ji-Hong Zhu et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Doing Topology Optimization Explicitly and Geometrically—A New Moving Morphable Components Based Framework

(2014) Xu Guo et al.   JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME

An efficient 3D topology optimization code written in Matlab

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

A further review of ESO type methods for topology optimization

(2010) Xiaodong Huang 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

Bi-directional evolutionary topology optimization of continuum structures with one or multiple materials

(2008) X. Huang et al.   COMPUTATIONAL MECHANICS