ChatGPT for Reticular Chemists


Event details

Date 12.12.2023
Hour 15:1516:15
Speaker   Dr. Zhiling Zheng is a Postdoctoral Associate at the Massachusetts Institute of Technology and a member of the Bakar Institute of Digital Materials for the Planet (BIDMaP). He completed his Bachelor’s degree in Chemistry and Chemical Biology at Cornell University in 2019, where he worked under the guidance of Prof. Kyle M. Lancaster. He then earned his Ph.D. in Chemistry from the University of California, Berkeley in 2023, supervised by Prof. Omar M. Yaghi. In the early phase of his Ph.D., Dr. Zheng was trained as an experimental chemist, focusing on the design and synthesis of Metal-Organic Frameworks (MOFs) for atmospheric water harvesting and CO2 capture. Later, his research scope expanded to the use of large language models (LLMs) and machine learning (ML) in accelerating the discovery of reticular materials and drug molecules. Dr. Zheng is recognized as a Merrill Presidential Scholar and has received the Kavli ENSI Graduate Student Fellowship for his contributions to AI and Chemistry.
Location Online
Category Conferences - Seminars
Event Language English

The recent emergence of large language models like GPT-3.5, GPT-4 and ChatGPT heralds a new era in scientific innovation, especially in reticular chemistry. In this seminar we focus on the impact of ChatGPT’s natural language processing abilities on enhancing scientific research. We will discuss how it streamlines tasks such as conducting literature reading, extracting pertinent synthesis data, and offering lab-based guidance. Furthermore, the session will showcase the practical uses of ChatGPT in the realm of reticular chemistry. This includes its integration into robotic systems, the coding assistance for the development of simple machine learning models, and the execution of complex data analyses. These examples are intended to illustrate ChatGPT’s potential as an useful assistant for humans in improving the efficicency and creativity of lab activities, making computational techniques or digital resources more accessible to chemists with varying levels of programming knowledge.

Practical information

  • General public
  • Free


  • Andres M Bran, Rebecca Neeser, Yannick Calvino, Philippe Schwaller


  • Andres M Bran, Rebecca Neeser, Yannick Calvino, Philippe Schwaller