Christian Borgs

University of California, Berkeley, Blue Planet (Norway)

Papers

Total Citations

245

H-Index

About

Christian Borgs is a pioneering researcher at the intersection of artificial intelligence and reticular chemistry, with a focus on leveraging large language models (LLMs) and multi-agent systems to accelerate materials discovery. His major contributions include the development of a groundbreaking multi-AI-driven system that integrates ChatGPT with Bayesian optimization and seven LLM-based assistants to autonomously optimize the crystallinity of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs). This work, published in 2023 and garnering 145 citations, represents a paradigm shift in how AI can orchestrate complex laboratory workflows. Borgs further advanced the field with his 2025 paper on "Large language models for reticular chemistry," which has already accumulated 100 citations, demonstrating the rapid adoption of his methodologies. His research not only automates experimental design but also enhances reproducibility and efficiency in materials synthesis. By bridging AI and chemistry, Borgs has established himself as a leader in the emerging field of AI-driven reticular chemistry, offering a scalable blueprint for integrating machine learning into experimental research.