Beijing University of Chemical Technology (BUCT)

"To be ambitious, virtuous, profoundly learned and to serve people"

(宏德博学 化育天工)

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🏛️ About Us

Beijing University of Chemical Technology (BUCT), established in 1958, is a high-level national university directly affiliated with the Ministry of Education of China. We are a key member of the national "Project 211" and the "985 Project Innovation Platform", actively leading in China's "Double First-Class" university construction plan.

With a legacy of over 60 years, BUCT has evolved into a multi-disciplinary research university with a formidable reputation in science and engineering. We rank 6th globally in Chemical Engineering (ARWU) and host world-class faculties in Materials Science, Intelligent Process Engineering, and Life Sciences.

🌟 Our Mission: Synthesizing Nature through Intelligence

We are dedicated to bridging the gap between fundamental molecular science and advanced artificial intelligence. This organization serves as the digital nexus for our open-source contributions, fostering a global community where chemistry meets computation (AI for Science).

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🔬 Research Pillars: AI for Science (AI4S)

Our open-source initiatives are organized around four strategic pillars where BUCT possesses unique domain expertise:

1. AI for Materials & Chemistry (AI4Mat)

Leveraging the Materials Genome Initiative, our researchers in the College of Materials Science and Engineering and the State Key Laboratory of Organic-Inorganic Composites are revolutionizing material discovery.

• Polymer Informatics: Graph Neural Networks (GNNs) for predicting thermal, mechanical, and degradation properties of complex polymers.
• Supramolecular Intelligence: Generative models for designing self-assembling photosensitizers and nano-diagnostic agents for precision medicine.
• Crystallography & DFT: AI-assisted phase identification from XRD patterns and Neural Force Fields for accelerating Density Functional Theory (DFT) calculations.
• Green Catalysis: Deep learning frameworks for optimizing catalytic pathways in sustainable chemical processes.

2. Intelligent Process Systems (Industrial AI)

Led by the Engineering Research Center of Intelligent Process Systems Engineering, we focus on the safety and efficiency of large-scale industrial systems.

• Fault Detection & Diagnosis: Robust models benchmarked on the Tennessee Eastman (TE) process for identifying anomalies in complex chemical plants.
• Soft Sensing: Virtual sensors driven by machine learning to estimate hard-to-measure process variables in real-time.
• Industrial IoT & Edge AI: Lightweight models optimized for FPGA and embedded systems, enabling real-time monitoring in hazardous environments.

3. Robotics & Autonomous Perception

The College of Information Science and Technology and the Heke Autonomous Driving Team push the boundaries of embodied AI.

• Autonomous Driving: Multi-modal fusion perception models (LiDAR + Vision) for unmanned vehicles in complex urban and industrial scenarios.
• Specialized Robotics: Control algorithms for underwater robots and unmanned surface vehicles (USVs) designed for environmental monitoring.
• Vision-Language Models: Large-scale models adapted for visual reasoning in dynamic physical environments.

4. Bioinformatics & Digital Life

Integrating biology with big data, the School of Life Science and Technology pioneers computational solutions for health and synthesis.

• Synthetic Biology (SynBio): AI-driven pathway design for microbial synthesis of high-value chemicals (e.g., 2-phenylethyl alcohol), building on our iGEM successes.
• Precision Medicine: Deep learning models for identifying cancer biomarkers (e.g., in kidney renal clear cell carcinoma) and predicting drug-target affinity.
• Microbial Omics: Tools for analyzing complex microbiome data in fermentation and environmental contexts.

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🎓 Education & Community Resources

We believe in empowering the next generation of engineers and scientists.

• (https://github.com/the-ccsn/BUCTthesis): The official LaTeX templates for bachelor, master, and doctoral theses.
• Algorithm Training: Resources and datasets from our ACM/ICPC training camps.
• Student Innovation: A showcase of student-led projects, including iGEM competition repositories and undergraduate AI research.

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⚖️ Governance & Licensing

Open Science Commitment

BUCT is committed to the principles of Open Science. Unless otherwise specified in the model card, all public models and datasets in this organization are released under the CC-BY-NC 4.0 license (Attribution-NonCommercial).

Responsible AI & Ethics

We adhere to strict ethical guidelines, particularly concerning the dual-use potential of chemical and biological AI models.

• Chemical Safety: Models provided here must not be used for the design or synthesis of illicit drugs, chemical weapons, or other hazardous materials.
• Data Privacy: All medical and industrial datasets hosted here have undergone rigorous anonymization and ethical review.

Contact

• Academic Collaboration: Please contact the principal investigator (PI) listed in the specific model card.
• General Inquiries: opensource [at] buct.edu.cn (Replace with actual contact)

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This organization is maintained by the community of Beijing University of Chemical Technology.