Code for 'FORCINN: First-order reversal curve inversion of magnetite using neural networks'

FORCINN is a Python-based package that uses neural network algorithms to invert first-order reversal curves (FORC). The model was trained on a large single-particle magnetite FORC dataset computed by micromagnetic simulations. The model input is the raw FORC loop, and the output is the predicted size and aspect ratio distributions.

Pei, Z., Williams, W., Nagy, L., Paterson, G., Moreno, R., Muxworthy, A., & Chang, L. (2024). Code for 'FORCINN: First-order reversal curve inversion of magnetite using neural networks'. Zenodo. https://doi.org/10.5281/zenodo.13838981