Intelligent Geochemistry · Open Science · Next-Generation Isotope Analysis

• iGeochem cloud: A cyber-physical framework for intelligent and automated geochemical laboratories · Artificial Intelligence in Geosciences, 2026

We are the Research Group of Qiang Huang at the State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences (IG-CAS). Our group is pioneering the integration of artificial intelligence with geochemical analysis, building the future of intelligent, self-driving laboratories.

Dr. Qiang Huang is an Associate Professor at the Institute of Geochemistry, Chinese Academy of Sciences. He earned his Ph.D. in Environmental Science from the Guangzhou Institute of Geochemistry, CAS, in 2013. His research bridges traditional geochemistry with modern AI methods, pioneering the field of Smart Geochemistry.

• AI+Geochemistry: Developing machine learning models for intelligent data analysis, quality control, and automated interpretation in geochemistry.
• Intelligent Laboratory Automation: Building self-driving analytical pipelines that reduce human error, increase throughput, and enable reproducible research.
• Mercury Isotope Geochemistry: Understanding isotopic fractionation mechanisms during atmospheric mercury transformations.
• Machine Learning Applications: Applying deep learning and traditional ML for anomaly detection, source apportionment, and predictive modeling.

• State Key Laboratory Profile
• UCAS Faculty Page
• Researchgate
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1. Huang Q.*, Zhou C., Feng X., Tang Y., Zhong Y. (2026) iGeochem Cloud: A Cyber-Physical Framework for Intelligent and Automated Geochemical Laboratories. Artificial Intelligence in Geosciences, 7(3): 100257. DOI
2. Zhou C., Huang Q.*, Tang Y., Zhong Y., Feng X. (2026) A Data-Driven, Post-Acquisition Quality Diagnostic Pipeline for Isotope Analysis by MC-ICP-MS. Journal of Analytical Atomic Spectrometry, 41(5): 1894-1907. DOI
3. Zhou C., Huang Q.*, Cui M., Wang X., Feng X. (2025) Advances of machine learning in stable isotope geochemistry. Journal of Analytical Atomic Spectrometry, 40(12): 3344-3367. DOI
4. Huang Q., He X., Huang W., Reinfelder J.R. (2021) Mass-Independent Fractionation of Mercury Isotopes during Photoreduction of Soot Particle Bound Hg(II). Environmental Science & Technology, 55(20), 13783-13791.
5. Huang Q., Chen J., Huang W., Reinfelder J.R., Fu P., et al. (2019) Diel variation of mercury stable isotope ratios record photoreduction of PM2.5-bound mercury. Atmospheric Chemistry and Physics, 19, 315–325.

Our signature open-source project, Hg-MC-Auto, represents a paradigm shift in mercury isotope analysis—the world's first self-driving pipeline for MC-ICP-MS mercury isotope analysis.

Hg-MC-Auto is an end-to-end, AI-powered pipeline that automates the entire workflow of mercury isotope analysis—from raw data extraction to quality-controlled final results.

• 🤖 Robotic Data Extraction: Automates data export from proprietary instrument software
• 🧠 Intelligent Quality Control: ML models with 99.6% F1-score for anomaly detection
• 🔍 Root-Cause Diagnosis: Multi-class classification identifies probable causes of abnormalities
• 📊 User-Friendly Interface: Makes advanced isotope analysis accessible without coding expertise
• ⚙️ Scalable & Modular: Designed for extension to other isotope systems

Validated with 26,218 historical measurements.

@article{zhou2025selfdriving,
  title={A Data‑Driven, Post‑Acquisition Quality Diagnostic Pipeline for Isotope Analysis by MC-ICP-MS},
  author={Zhou, Chufan and Huang, Qiang and Tang, Yang and Zhong, Ying and Feng, Xinbin},
  journal={Journal of Analytical Atomic Spectrometry},
  year={2025},
  doi={10.1039/D5JA00519A}
}

"Building the future of geochemistry through AI and open science—making intelligent laboratories accessible to everyone."

We believe in open science, reproducible research, and the power of collaboration. Whether you're a researcher, student, or enthusiast, there's a place for you in our community.

We welcome talented individuals to join our team:

• Research Interns: Gain hands-on experience in AI + geochemistry
• Graduate Students: Join through UCAS in Geochemistry (070902) or Environmental Science (083001)
• Postdoctoral Researchers: inquiries welcome

Contact: igeocloud@hotmail.com · huangqiang@mail.gyig.ac.cn

Let's build the future of intelligent geochemistry—together. 🚀