From Chemical Equation to Chemical Integral Equation Groups

Abstract

Over the past 400 years, chemical equations have been regarded by chemical researchers and educators as an important tool for describing chemical reaction processes due to their simplicity and clarity. However, with the continuous development of AI and robotics technology, the digitization process of chemistry is also expanding. In this process, traditional chemical equations are increasingly revealing their shortcomings, such as data scalability, product singularity, and condition ambiguity, which make them difficult to adapt to digitization.

In this seminar, Dr Zhu will share the principles of digitally decomposing chemical reactions and the specific process of transitioning chemical reaction equations to chemical integral equation groups. Dr Zhu will focus on introducing their independently developed AIR-Chem autonomous chemical research system and Mateverse digital reconstruction system, and share examples of how these two systems achieve the comprehensive digitization of two chemical reactions. Through these examples, we can see the enormous potential and future development trends of digital chemical reactions.

Speaker

Dr Zhu Xi obtained his bachelor’s degree in Physics from the University of Science and Technology of China (USTC) in 2006, and his PhD from Nanyang Technological University (NTU), Singapore, in 2011. He joined the School of Science and Engineering (SSE) at the Chinese University of Hong Kong, Shenzhen in 2017, where he holds the position of Deputy Director at the Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS). His research interests focus on the application of condensed mater physics theory in interdisciplinary research. His current research focuses on the application of AI in materials science and pharmacy. He leads the development of the on-demand and in-cloud materials synthesis platform scheme called “MAOSIC”, which is based on the intelligent robots and cloud computing. Additionally, he has developed the blockchain technology-endorsed automatic experimental platform (BiaeP) for storing  experimental data securely, promoting the advancement of materials science in the AI era.