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docs: add acknowledgments for szczypinski-group/pyMultiwfn reference
- Add ACKNOWLEDGMENTS.md with reference to szczypinski-group/pyMultiwfn - Update PHASE3_TASKS.md with reference link - Update README.md with additional acknowledgments - Update cron_randomization.json with references The project now properly acknowledges the reference implementation from szczypinski-group/pyMultiwfn for wavefunction analysis algorithms.
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ACKNOWLEDGMENTS.md

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# 致谢 (Acknowledgments)
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## PyMultiWFN 项目致谢
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本项目在开发过程中参考并受益于以下开源项目和资源:
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### 核心参考
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**szczypinski-group/pyMultiwfn**
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🔗 https://github.com/szczypinski-group/pyMultiwfn
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- 提供了 Multiwfn 功能的 Python 实现参考
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- 为模糊键级分析 (Fuzzy Bond Order) 提供算法参考
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- 在分子波函数分析和电子结构计算方面提供重要参考
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特此对 szczypinski-group 的贡献表示衷心感谢!
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---
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### 开发工具和框架
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- **Multiwfn** (http://sobereva.com/multiwfn/) - 波函数分析的核心参考实现
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- **NumPy/SciPy** - 科学计算基础库
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- **RDKit** - 化学信息学工具包
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- **pytest** - 测试框架
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### 理论基础
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本项目基于以下理论和方法:
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- Mayer, I. (1984). Chem. Phys. Lett. 97, 270-274. (键级理论)
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- Bader, R. F. W. (1990). Atoms in Molecules: A Quantum Theory. (AIM理论)
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- Various scientific literature on wavefunction analysis
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---
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## 致谢说明
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本项目遵循开源精神,在开发过程中:
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1. 尊重原始作者的知识产权
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2. 在代码中适当引用参考来源
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3. 遵循相关开源许可证要求
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4. 积极贡献开源社区
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如有任何遗漏或不准确的引用,请联系我们及时更正。
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---
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*Last Updated: 2026-02-27*

PHASE3_TASKS.md

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## References
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**参考实现**: [szczypinski-group/pyMultiwfn](https://github.com/szczypinski-group/pyMultiwfn)
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本项目在开发过程中参考了 szczypinski-group/pyMultiwfn 的实现方法和架构设计,特此致谢。
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---
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## Overview
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Phase 3 focuses on **advanced bonding analysis** capabilities, building upon the electronic structure foundation from Phase 2. This phase will implement sophisticated bond analysis methods, aromaticity indices, and inter-molecular interaction analysis.

README.md

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Based on the original [Multiwfn](http://sobereva.com/multiwfn/) program by Tian Lu.
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**Additional References:**
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- [szczypinski-group/pyMultiwfn](https://github.com/szczypinski-group/pyMultiwfn) - Reference implementation for wavefunction analysis algorithms
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**Maintained by**: PyMultiWFN Team
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**Last Updated**: 2026-02-21
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**Last Updated**: 2026-02-27

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