Prof. Xi Zhu obtained his bachelor's degree in physics from the University of Science and Technology of China (USTC) in 2006, and his Ph.D. at Nanyang Technological University (NTU), Singapore, in 2011. He joined The Chinese University of Hong Kong, Shenzhen in 2017, and holds the position of deputy director at Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS). His research interests focus on the application of condensed matter physics theory in interdisciplinary research. His current research focuses on the AI application in materials science and pharmacy, he leads the development of the on-demand and in-cloud materials synthesis platform scheme "MAOSIC" based on intelligent robots and cloud computing; and developed the blockchain technology endorsed automatic experimental platform (BiaeP) for unforgettable experimental data. Promoting the new advance of materials science in the AI era..

1. SURVEY OF CHALLENGES IN CHEMISTRY AND MATERIALS SCIENCE RESEARCH
Introduction
Energy Form
Data

2. ROBOTS TECHNOLOGY DEVELOPMENT IN MORDEN SCIENTIFIC RESEARCH
Introduction
Early Development of Laboratory Automation (Before 2000)
Preliminary Integration and Development of Laboratory Automation (2000-2019)
Latest Developments and Current Trends (2020-2023)
Outlook on Future Development
Conclusion

3. AI ALGORITHM FOR CHEMICAL AND BIO MATERIALS DESIGN
Introduction
Molecular Representation and Encoding
The Formulation of Accessible and Searchable Data
AI for Molecular Structure-Property Relationship
AI for Chemical and Bio Material Design

4. AUTONOMOUS LABORATORY EMPOWERED BY AI AND ROBOTICS
Evolution of Laboratory
Core Technologies in Autonomous Laboratories
Example Autonomous Laboratory Solution
Advanced Autonomous Laboratory Solutions
Future Prospects and Trends

5. LARGE LANGUAGE MODELS FOR THE AUTONOMOUS MATERIALS RESEARCH
Review of Large Language Models Development and Applications
Fundamentals of LLM for Material Research: Database and Knowledge Base Construction
Evaluation: Spider Matrix
Ideation: AI Supervisor and ScholarNet
Results and Discussion
Conclusion

6. TOWARDS A BLOCKCHAIN-POWERED ANTI-COUNTERFEITING EXPERIMENTAL DATA SYSTEM IN AN AUTONOMOUS LABORATORY
Blockchain Technology
Laboratory Chemical Management and Safety
The Problem of Data Integrity and Counterfeiting in Scientific Research
Blockchain in the Autonomous Laboratory
Symbolic Representation of Experiments
Challenges and Limitations
Conclusion

7. THE FUTURE INTEGRATED COMPUTATIONAL AND EXPERIMENTAL RESEARCH IN METAVERSE
Introduction of Metaverse
Research Paradigm in Metaverse
H2O Phase Research in Metaverse
Aqueous System Research in Metaverse
Challenges & Future Directions