yonesuke/jaxfss
JAX/Flax implementation of finite-size scaling
This helps physicists and materials scientists analyze how physical quantities behave near critical points in systems of different sizes. It takes measurements of a physical quantity (like magnetization or specific heat) at various temperatures and system sizes. From this data, it estimates the critical temperature, critical exponents, and the unknown scaling function that describes the system's behavior. Researchers studying phase transitions would use this to understand the underlying physics.
No commits in the last 6 months. Available on PyPI.
Use this if you need to determine critical points and scaling exponents from experimental or simulation data collected across different system sizes and temperatures.
Not ideal if you prefer using a Gaussian process approach or a PyTorch-based neural network for finite-size scaling.
Stars
15
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jan 15, 2023
Commits (30d)
0
Dependencies
6
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