Release Notes - Ferroaxionic Effect Repository v1.0 Overview This release accompanies the publication of "Detecting the QCD axion via the ferroaxionic force with piezoelectric materials" by Asimina Arvanitaki, Jonathan Engel, Andrew A. Geraci, Alexander Hepburn, Amalia Madden, and Ken Van Tilburg. Paper: [arXiv:2411.10516](https://arxiv.org/abs/2411.10516) Journal: Physical Review Letters (Accepted) DOI: https://doi.org/10.1103/6xw1-1715 Repository: https://github.com/kenvantilburg/ferroaxionic-effect What's New Initial Release (v1.0) This is the first public release of the computational framework supporting the ferroaxionic effect research. The repository provides complete reproducibility for all figures and calculations presented in the PRL paper. Features Core Functionality Complete Reproducibility: All figures from the paper can be regenerated using the provided Jupyter notebooks Natural Units Framework: Code operates in natural units (ℏ = c = k_B = 1) with a custom units module (my_units.py) Data Accessibility: Tabulated data underlying all paper figures included in structured format Repository Structure ferroaxionic-effect/ ├── code/ # Jupyter notebooks for figure generation ├── data/ # Tabulated numerical results ├── figs/ # Generated figures from the paper ├── LICENSE # MIT License └── README.md # Documentation Scientific Contributions This code repository supports the following key scientific findings: Novel Detection Method: Demonstrates how piezoelectric materials can source virtual QCD axions to generate a new axion-mediated force Enhanced Coupling: Shows effective in-medium scalar coupling up to 7 orders of magnitude larger than vacuum coupling Experimental Feasibility: Proposes nuclear spin precession detection scheme with resonant enhancement Mass Range Coverage: Targets previously unexplored QCD axion mass range: 10⁻⁵ eV to 10⁻² eV Technical Details Physics Framework Symmetry Breaking: Combines spontaneous parity violation (piezoelectric crystal) with time-reversal violation (aligned spins) Detection Mechanism: Resonantly enhanced signal from modulated source-sample distance at spin precession frequency Experimental Design: Modified ARIADNE-style experimental setup Computational Implementation Language: Python (Jupyter Notebook 99.3%, Python 0.7%) Dependencies: Standard scientific Python stack Unit System: Natural units with custom conversion utilities Installation & Usage Quick Start # Clone the repository git clone https://github.com/kenvantilburg/ferroaxionic-effect.git cd ferroaxionic-effect # Navigate to code directory cd code # Open Jupyter notebooks to reproduce figures jupyter notebook Requirements Python 3.x Jupyter Notebook Standard scientific libraries (NumPy, SciPy, Matplotlib) Data The data/ folder contains: Tabulated numerical results for all paper figures Preprocessed data from calculations Ready-to-plot datasets All data files are referenced directly in the corresponding Jupyter notebooks. Citation If you use this code or data in your research, please cite: @article{6xw1-1715, title = {Detecting the QCD axion via the ferroaxionic force with piezoelectric materials}, author = {Arvanitaki, Asimina and Engel, Jonathan and Geraci, Andrew A. and Hepburn, Alexander and Madden, Amalia and Tilburg, Ken Van}, journal = {Phys. Rev. Lett.}, year = {2026}, month = {Jan}, publisher = {American Physical Society}, doi = {10.1103/6xw1-1715}, url = {https://link.aps.org/doi/10.1103/6xw1-1715} } Authors & Contact Asimina Arvanitaki - aarvanitaki@perimeterinstitute.ca (Perimeter Institute) Jonathan Engel - University of North Carolina Andrew A. Geraci - Northwestern University Alexander Hepburn - Northwestern University Amalia Madden - amadden@kitp.ucsb.edu (KITP, UC Santa Barbara) Ken Van Tilburg - kenvt@nyu.edu (New York University) License This project is licensed under the MIT License - see the [LICENSE](https://claude.ai/chat/LICENSE) file for details. Contributing This is a research code repository supporting a published paper. For questions, suggestions, or issues: Open an issue on GitHub Contact the corresponding authors directly Refer to the paper for detailed methodology Repository Statistics Release Date: February 16, 2026 Total Commits: 38 Contributors: 2 (Amalia Madden, Ken Van Tilburg) License: MIT Language: Jupyter Notebook (99.3%), Python (0.7%) Version History v1.0 (February 16, 2026) Initial public release Complete code for all paper figures Full dataset publication Documentation and README MIT License applied Future Development This repository represents the computational framework as published. Future updates may include: Extended parameter studies Additional material calculations Sensitivity projections for alternative experimental configurations Community contributions and extensions Related Resources Paper (arXiv): https://arxiv.org/abs/2411.10516 Published Version: https://doi.org/10.1103/6xw1-1715 Repository: https://github.com/kenvantilburg/ferroaxionic-effect This release represents a significant step forward in axion dark matter detection methodology, opening a new mass range for experimental exploration through the novel ferroaxionic force mechanism.