呂紹維 LU,SHAO-WEI

Research Abstract

Neural network is a branch of machine learning, it can be viewed as a mathematical model with lots of parameters. By mapping the relationship between the input and the output, the model reveals the underlying physical law. We want to use this technique to predict the molecular properties rather than traditional method, which is time-consuming and expensive. Furthermore, our ultimate goal is to bidirectionally transform between various molecular representations and properties.

Publications

Still working on it

Award

1. Fu Ssu-nien’s Award (4th place), Bachelor Thesis Competition, NTU (June 2020)

2. Gold Award, Undergraduate Poster Competition, Dept. Chemical Engineering, NTU (April 2020)