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ACN v7.1 Open Source Preview

ACN v7.1 / Academic Chemistry Network is an open-source local Gradio workbench for academic document parsing, concept extraction, concept-network visualization, chemistry-inspired analysis, and AI-assisted interpretation.

ACN v7.1 / 学术化学网络 是一个开源的本地 Gradio 工作台，用于学术文档解析、概念抽取、概念网络可视化、化学启发式分析和 AI 辅助解释。

English

This is the first open-source preview release of ACN v7.1.

ACN helps users convert academic documents into concept networks and explore those networks through chemistry-inspired analogy layers. It supports document parsing, concept extraction, network building, visualization, reaction-style analysis, quantum-like analysis, catalysis/toxicity annotations, lifecycle decay analysis, counterfactual experiments, ARE structural experiments, ACL advanced annotations, and optional AI explanations through Ollama or OpenAI-compatible APIs.

The project is designed for research exploration, education, interdisciplinary thinking, and prototype analysis. It is not a real chemical simulator and should not be treated as a final scientific authority.

中文

这是 ACN v7.1 / 学术化学网络 的第一个开源预览版本。

ACN 可以帮助用户把学术文档转化为概念网络，并通过化学启发式类比层观察这些网络。它支持文档解析、概念抽取、网络构建、可视化、反应式分析、类量子分析、催化/毒性注释、生命周期衰减分析、反事实实验、ARE 结构实验、ACL 高级注释，以及通过 Ollama 或 OpenAI-compatible API 进行可选 AI 解释。

本项目面向研究探索、教育演示、跨学科思维和原型分析。它不是真正的化学仿真器，也不应被视为最终科学权威。

Included in this release / 本版本包含

  • Local Gradio web interface
  • PDF / DOCX / XLSX / PPTX / TXT parsing
  • Academic and chemical concept extraction
  • Concept-network construction
  • 2D and 3D visualization
  • Reaction kinetics style analogy layer
  • Quantum-like analysis modules
  • Catalysis and toxicity style concept annotations
  • Decay and lifecycle analysis
  • Counterfactual network experiments
  • ARE: Academic Reaction Engine
  • ACL: Advanced Chemistry Layer
  • Ollama backend support
  • OpenAI-compatible API backend support
  • Bilingual Chinese / English UI
  • Example input file
  • Bilingual documentation
  • Installation guide
  • Self-check and smoke-test scripts
  • Open-source cleanup

Installation / 安装

git clone https://github.com/zararogers338-hash/ACN-Academic-Chemistry-Network.git
cd ACN-Academic-Chemistry-Network
pip install -r requirements.txt
python run.py

Windows users can also run:

start_acn.bat

Linux/macOS users can run:

bash start_acn.sh

Important Notice / 重要说明

ACN is not a real chemistry simulator, not a laboratory prediction engine, and not a substitute for domain experts.

ACN 不是真正的化学仿真器，不是实验室预测引擎，也不能替代领域专家。

Use it as an observation window for academic concepts and research-field structure.

请把它作为观察学术概念和研究领域结构的窗口来使用。