https://github.com/phanakata/ml_for_kirigami_design

Python package to model and to perform topology optimization for graphene kirigami using deep learning
https://github.com/phanakata/ml_for_kirigami_design

convolutional-neural-networks deep-learning graphene lammps material-design scikit-learn tensorflow tensorflow-models topology-optimization

Last synced: 4 months ago
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Python package to model and to perform topology optimization for graphene kirigami using deep learning

• Host: GitHub
• URL: https://github.com/phanakata/ml_for_kirigami_design
• Owner: phanakata
• License: bsd-3-clause
• Created: 2018-03-16T14:40:05.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2021-01-16T04:12:00.000Z (about 4 years ago)
• Last Synced: 2024-10-10T08:43:57.760Z (4 months ago)
• Topics: convolutional-neural-networks, deep-learning, graphene, lammps, material-design, scikit-learn, tensorflow, tensorflow-models, topology-optimization
• Language: Jupyter Notebook
• Homepage:
• Size: 2.36 MB
• Stars: 27
• Watchers: 2
• Forks: 8
• Open Issues: 0

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