https://github.com/santoshkumarradha/machine-learning-topological-insulators

Using Neural networks to compute topological invariants in insulators
https://github.com/santoshkumarradha/machine-learning-topological-insulators

cnn condensed-matter-theory machine-learning neural-network physics quantum topological-insulator

Last synced: 3 months ago
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Using Neural networks to compute topological invariants in insulators

• Host: GitHub
• URL: https://github.com/santoshkumarradha/machine-learning-topological-insulators
• Owner: santoshkumarradha
• Created: 2020-05-30T19:35:32.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-10-12T17:28:49.000Z (over 4 years ago)
• Last Synced: 2024-04-16T01:53:53.322Z (10 months ago)
• Topics: cnn, condensed-matter-theory, machine-learning, neural-network, physics, quantum, topological-insulator
• Language: Python
• Homepage:
• Size: 1.6 MB
• Stars: 13
• Watchers: 2
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Neural network models to learn calculation of topological invarients

Ongoing project on using Neural networks to calculate topological invarients

Main model development is in `CNN_modules.py`

Sample architecture 

  

### Example

Chern Number calculation of Haldene model using CNN