Christian Borgs

Professor

University of California

United States

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About

Christian Borgs is a Professor at the University of California, specializing in reticular chemistry and the application of advanced computational models. His recent research includes the development of large language models for reticular frameworks and innovative approaches to water harvesting in metal-organic frameworks. Additionally, he has focused on leveraging AI technologies, such as GPT-4, for data mining and guiding discoveries in reticular chemistry.

Articles (14)

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2025

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2022

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2022

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UNITED STATES

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Zhiling Zheng

Assistant Professor

Washington University in St. Louis

UNITED STATES

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Christian Borgs

Research Interests

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Articles (14)

Pinpointing the Onset of Water Harvesting in Reticular Frameworks from Structure

Large language models for reticular chemistry

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

Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo

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

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

Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models

ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs.

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

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

Iterative Collaborative Filtering for Sparse Matrix Estimation

Estimating the total treatment effect in randomized experiments with unknown network structure

Consistent nonparametric estimation for heavy-tailed sparse graphs

LIMITS OF SPARSE CONFIGURATION MODELS AND BEYOND: GRAPHEXES AND MULTIGRAPHEXES

Collaborators (6)

Edoardo Airoldi

Jennifer Chayes

Christina Yu

Omar Yaghi

Matei Zaharia

Zhiling Zheng

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