Christian Borgs

About

Christian Borgs is a professor of Computer Science at the University of California, Berkeley, with a focus on the science of networks, including mathematical foundations, graph limits, graph processes, graph algorithms, and applications in economics, systems biology, and epidemiology. He has also contributed to mathematical statistical physics and recently to aspects of responsible AI, differential privacy, and AI for material science.

Research topics

• Computer Science
• Combinatorics
• Mathematics
• Information Retrieval
• Chemistry
• Artificial Intelligence
• Physics
• Medicine
• Organic chemistry
• Engineering

Selected publications

• ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis

  Journal of the American Chemical Society · 2023 · 463 citations

  We use prompt engineering to guide ChatGPT in the automation of text mining of metal-organic framework (MOF) synthesis conditions from diverse formats and styles of the scientific literature. This effectively mitigates ChatGPT's tendency to hallucinate information, an issue that previously made the use of large language models (LLMs) in scientific fields challenging. Our approach involves the development of a workflow implementing three different processes for text mining, programmed by ChatGPT…

  DOI

• A GPT‐4 Reticular Chemist for Guiding MOF Discovery**

  Angewandte Chemie International Edition · 2023 · 147 citations

  We present a new framework integrating the AI model GPT-4 into the iterative process of reticular chemistry experimentation, leveraging a cooperative workflow of interaction between AI and a human researcher. This GPT-4 Reticular Chemist is an integrated system composed of three phases. Each of these utilizes GPT-4 in various capacities, wherein GPT-4 provides detailed instructions for chemical experimentation and the human provides feedback on the experimental outcomes, including both success a…

  DOI

• Large language models for reticular chemistry

  Nature Reviews Materials · 2025-01-31 · 99 citations

  review
  PublisherDOI

• Image and data mining in reticular chemistry powered by GPT-4V

  Digital Discovery · 2024-01-01 · 62 citations

  articleOpen access

  The integration of artificial intelligence into scientific research opens new avenues with the advent of GPT-4V, a large language model equipped with vision capabilities.

  PublisherOA PDFDOI

• Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures

  2020 · 27 citations

  1st authorCorresponding

  For d ≥ 2 and all q≥ q 0(d) we give an efficient algorithm to approximately sample from the q-state ferromagnetic Potts and random cluster models on the torus (ℤ / n ℤ ) d for any inverse temperature β≥ 0. This stands in contrast to Markov chain mixing time results: the Glauber dynamics mix slowly at and below the critical temperature, and the Swendsen–Wang dynamics mix slowly at the critical temperature. We also provide an efficient algorithm (an FPRAS) for approximating the partition functions…

  PublisherOA PDFDOI

Frequent coauthors

• Jennifer Chayes

  381 shared

• Omar M. Yaghi

  King Abdulaziz City for Science and Technology

  45 shared

• Béla Bollobás

  43 shared

• Oliver Riordan

  39 shared

• Riccardo Zecchina

  31 shared

• Nakul Rampal

  Kavli Energy NanoScience Institute

  30 shared

• Zhiling Zheng

  University of California, Berkeley

  28 shared

• Shang‐Hua Teng

  University of Southern California

  23 shared

Education

• B.S., Physics

  University of Munich

• Ph.D., Mathematical Physics

  University of Munich and Max-Planck-Institute for Physics

• Other, Mathematical Physics

  Free University in Berlin

Awards & honors

• Karl-Scheel Prize
• Heisenberg Fellowship
• Fellow of the American Mathematical Society
• Fellow of the Association of the Advancement of Science

Similar researchers at University of California, Berkeley

• Alexandre Bayenh-61
• Ana Claudia Ariash-54
• Venkat Anantharamh-41