Chemistry Meets Machine Learning (2023/6/15)

Chemistry meets Machine Learning
Date: June 15, 2023
Venue: Dr. Poe Lecture Hall, Institute of Atomic and Molecular Sciences, Academia Sinica

With the recent advances in machine learning (ML) techniques, we have seen a rise in the application of ML in various fields of science. But, on the other hand, many chemists are still wondering if using this powerful ML in a black box manner will help their research or not. In this workshop, we aim to shed some light on this.

In this workshop, we will open with Prof. William Green of MIT giving a talk on “Quantitative Machine Learning for Chemical Sciences”. Then, Prof. Yi-Pei Li (NTU) and Tzuhsiung Yang (NTHU) will give a lecture and hands-on some basic ML tools for material property prediction, generating molecular structure for desired property, and organic chemistry predictive retrosynthesis. Lastly, we will have some lab members demo and share their experience using ML for their research.
See the workshop website for more details:
https://reurl.cc/MRrYEk

We would like to invite INTERESTED PIs to please join us to learn more about ML techniques and their possible application in chemical problems. Since we will have hands-on, please bring your laptop computers, and 1 lab member (student, RA, PD) can also join you at the workshop with you. PLEASE REGISTER BY JUNE 5.
https://ao.iams.sinica.edu.tw/site/CML%202023/Registration

Kaito Takahashi on behalf of the organizing committee
IAMS, Academia Sinica