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AI-assisted workflows for X-ray fluorescence simulation and data analysis

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⚠️ Important
This package is actively in development, and breaking changes may occur.

XRF copilot

XRF Copilot is an AI-powered workflow designed for X-ray fluorescence (XRF) simulation and data analysis.
It augments existing packages with state-of-the-art large language models and AI tools.

Current tools and features

Feature GitHub repository Documentation
XRF maps simulation, including the self-absorption effect https://github.com/hpphappy/XRF_tomography Thesis
LLM-assisted workflow https://github.com/xyin-anl/Nodeology

Setup

1. Clone the GitHub repository

git clone https://github.com/yijiang1/XRF_copilot.git

2.(Recommended) Setup a virtual environment using venv or conda with python=3.12

conda create --name xrf_copilot python=3.12

3. Install dependencies

pip install -r requirements.txt

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AI-assisted workflows for X-ray fluorescence simulation and data analysis

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