Clarkxielf / Dispersion-relation-prediction-and-structure-inverse-design-of-elastic-metamaterials
☆10Updated last year
Related projects: ⓘ
- ☆24Updated 2 years ago
- Code for 'Unifying the design space of truss metamaterials by generative modeling'☆11Updated 2 months ago
- METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design☆11Updated last year
- ☆11Updated 2 years ago
- Code for 'Inverting the structure-property map of truss metamaterials via deep learning'☆21Updated 3 months ago
- HuysmanWang / Deep-learning-aided-porous-media-hydrodynamic-analysis-and-three-dimensional-reconstructionThe study of hydrodynamic behavior and water-rock interaction mechanisms is typically characterized by high computational efficiency requ…☆38Updated 3 months ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆22Updated last year
- Deep learning model to predict complex stress and strain fields in hierarchical composites☆17Updated last year
- "Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy…☆27Updated 3 years ago
- This repo contains matlab code for multiscale finite element method☆46Updated 5 years ago
- ☆12Updated this week
- A parallel multi-scale FE2 code based on COMSOL Multi-physics and MATLAB☆12Updated 3 years ago
- Two-Step Enhanced Deep Learning Approach for Electromagnetic Inverse Scattering Problems☆13Updated 2 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆24Updated last year
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆21Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆40Updated 3 months ago
- yuhaowang2018 / Machine_learning_approach_to_Iron_based_soft_magnetic_nanocrystalline_materials_designMachine learning approach to Fe-based soft magnetic nanocrystalline materials design☆15Updated 4 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 2 months ago
- Python package to model and to perform topology optimization for graphene kirigami using deep learning☆27Updated 3 years ago
- A 2D Helmholtz solver based on the algorithms in "Inverse Acoustic and Electromagnetic Scattering Theory" by Colton and Kress.☆23Updated 8 years ago
- PINN program for computational mechanics☆80Updated 5 months ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆23Updated 2 years ago
- Micro-structure Grain Growth Simulation☆25Updated 5 years ago
- Electrostatic and Electromagnetic wave propagation simulations with FEM: EM field, TE & TM modes of a circular waveguide, scattering of a…☆37Updated 2 years ago
- 采用PINN/ResPINN对两种偏微分方程(Burgers&Allen-Cahn)的训练与求解☆10Updated 3 years ago
- Python package for phase field modeling of fracture in brittle materials☆25Updated 3 years ago
- Phase-field code in MATLAB to solve the phase-field model of Fan & Chen for Grain Growth phenomena in 2D☆19Updated 3 years ago
- Thermodynamics-based Artificial Neural Networks☆20Updated last year
- ☆30Updated last year
- These matlab codes simulate grain growth by solving the phase field equations using a centered finite difference method☆69Updated 5 years ago