https://github.com/longyangking/PhaseOfMatter

Machine Learning Phase of matter
https://github.com/longyangking/PhaseOfMatter

Last synced: about 2 months ago
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Machine Learning Phase of matter

• Host: GitHub
• URL: https://github.com/longyangking/PhaseOfMatter
• Owner: longyangking
• License: gpl-3.0
• Created: 2017-11-13T06:54:44.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-06-12T03:52:40.000Z (over 5 years ago)
• Last Synced: 2024-07-04T02:14:04.662Z (3 months ago)
• Language: Python
• Size: 8.39 MB
• Stars: 11
• Watchers: 2
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Classification and Analysis of phase of matter by machine learning

> My own version of codes

## Features

+ Home-made Ising model calculation with Monte Carlo Simulation

![](./pics/Ising.png)

+ Convolutional Neural Networks

![](./pics/mlising.png)

## Requirements

+ Numpy, Matplotlib

+ Keras, Tensorflow

## How to use

+ Train and test model for detecting phase of matter

        cd phaseofmatter

        python trainmodel.py

## References

[1]Carrasquilla J, Melko R G. Machine learning phases of matter[J]. Nature Physics, 2017.  

[2]van Nieuwenburg E P L, Liu Y H, Huber S D. Learning phase transitions by confusion[J]. Nature Physics, 2017, 13(5): 435-439.