CITATION.cff

cff-version: 1.2.0
message: "If you use this software or the associated paper in your research, please cite it as below."
authors:
- family-names: "Erdita"
  given-names: "Muhammad Afif"
  email: "maeapip10@gmail.com"
  affiliation: "SMA Negeri 23 Kabupaten Tangerang"
title: "Anomaly-Driven Correction Discovery (ADCD): Physics-Constrained Symbolic Regression for Evolutionary Scientific Discovery"
version: 3.0.0
doi: 10.5281/zenodo.20534940
date-released: 2026-06-23
url: "https://github.com/apiprdt/PhysicsPaper"
repository-code: "https://github.com/apiprdt/PhysicsPaper"
keywords:
  - "symbolic-regression"
  - "physics-constrained"
  - "equation-discovery"
  - "jax"
  - "scientific-machine-learning"
  - "sciml"
  - "physics-informed-ml"
  - "anomaly-detection"
license: MIT