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SUMMARY:ChatGPT for Reticular Chemists
DTSTART:20231212T151500
DTEND:20231212T161500
DTSTAMP:20260412T083016Z
UID:d684625b4b20e8de1341991a5ced8ced2d31c063fa57080deccdc02e
CATEGORIES:Conferences - Seminars
DESCRIPTION:  Dr. Zhiling Zheng is a Postdoctoral Associate at the Massac
 husetts Institute of Technology and a member of the Bakar Institute of Dig
 ital Materials for the Planet (BIDMaP). He completed his Bachelor’s degr
 ee in Chemistry and Chemical Biology at Cornell University in 2019\, where
  he worked under the guidance of Prof. Kyle M. Lancaster. He then earned h
 is 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 an
 d synthesis of Metal-Organic Frameworks (MOFs) for atmospheric water harve
 sting and CO2 capture. Later\, his research scope expanded to the use of l
 arge language models (LLMs) and machine learning (ML) in accelerating the 
 discovery of reticular materials and drug molecules. Dr. Zheng is recogniz
 ed as a Merrill Presidential Scholar and has received the Kavli ENSI Gradu
 ate Student Fellowship for his contributions to AI and Chemistry.\nThe rec
 ent emergence of large language models like GPT-3.5\, GPT-4 and ChatGPT he
 ralds a new era in scientific innovation\, especially in reticular chemist
 ry. In this seminar we focus on the impact of ChatGPT’s natural language
  processing abilities on enhancing scientific research. We will discuss ho
 w 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 re
 ticular chemistry. This includes its integration into robotic systems\, th
 e 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 i
 mproving the efficicency and creativity of lab activities\, making computa
 tional techniques or digital resources more accessible to chemists with va
 rying levels of programming knowledge.
LOCATION:https://epfl.zoom.us/j/68447908297?pwd=OU5JUGJUSUhZc0ZNYjQ2WENvYl
 NRdz09
STATUS:CONFIRMED
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