Optimal design of one-dimensional elastic metamaterials through deep convolutional neural network and genetic algorithm

Topology optimization of the periodic pile barrier with initial stresses arranged in rectangular and equilateral triangular lattices

(2023) Peng Zhou et al.   Structures

Topology optimization of soft compressible phononic laminates for widening the mechanically tunable band gaps

(2022) Atul Kumar Sharma et al.   COMPOSITE STRUCTURES

Achieving ultra-broadband and ultra-low-frequency surface wave bandgaps in seismic metamaterials through topology optimization

(2022) Ze Liu et al.   COMPOSITE STRUCTURES

Propagation and attenuation of Rayleigh and pseudo surface waves in viscoelastic metamaterials

(2021) Runcheng Cai et al.   JOURNAL OF APPLIED PHYSICS

Layup optimisation of laminated composite tubular structures under thermomechanical loading conditions using PSO

(2021) Harry Veivers et al.   COMPOSITE STRUCTURES

Intelligent design of engineered metabarrier based on deep learning

(2021) Chen-Xu Liu et al.   COMPOSITE STRUCTURES

Gradient-based topology optimization of soft dielectrics as tunable phononic crystals

(2021) Atul Kumar Sharma et al.   COMPOSITE STRUCTURES

Machine-learning based design of digital materials for elastic wave control

(2021) Jingyi Zhang et al.   Extreme Mechanics Letters

Interactive inverse design of layered phononic crystals based on reinforcement learning

(2020) Chengcheng Luo et al.   Extreme Mechanics Letters

Multiple-scale uncertainty optimization design of hybrid composite structures based on neural network and genetic algorithm

(2020) Xiang Peng et al.   COMPOSITE STRUCTURES

Predicting the effective mechanical property of heterogeneous materials by image based modeling and deep learning

(2019) Xiang Li et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Neural networks for inverse design of phononic crystals

(2019) Chen-Xu Liu et al.   AIP Advances

Prediction and optimization of mechanical properties of composites using convolutional neural networks

(2019) Diab W. Abueidda et al.   COMPOSITE STRUCTURES

Designing phononic crystal with anticipated band gap through a deep learning based data-driven method

(2019) Xiang Li et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A deep learning–based method for the design of microstructural materials

(2019) Ren Kai Tan et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Issues in design of one-dimensional metamaterials for seismic protection

(2018) Qian Geng et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures

(2018) Dianjing Liu et al.   ACS Photonics

Generative Model for the Inverse Design of Metasurfaces

(2018) Zhaocheng Liu et al.   NANO LETTERS

Deep convolutional neural networks for eigenvalue problems in mechanics

(2018) David Finol et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Material optimization of functionally graded plates using deep neural network and modified symbiotic organisms search for eigenvalue problems

(2018) Dieu.T.T. Do et al.   COMPOSITES PART B-ENGINEERING

Ground_borne noise and vibration transmitted from subway networks to multi_storey reinforced concrete buildings

(2017) Konstantinos Vogiatzis et al.   Transport

Ground_borne noise and vibration transmitted from subway networks to multi_storey reinforced concrete buildings

(2017) Konstantinos Vogiatzis et al.   Transport

Metamaterial properties of periodic laminates

(2016) Ankit Srivastava   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

A comprehensive survey on topology optimization of phononic crystals

(2016) Guilian Yi 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

Shape and topology optimization based on the phase field method and sensitivity analysis

(2009) Akihiro Takezawa et al.   JOURNAL OF COMPUTATIONAL PHYSICS