AI and Robotic Technology in Materials and Chemistry Research

provides a necessary and timely introduction for the materials and chemistry scientist with traditional synthesis skills, about why and how to accept digitalization.

Auteur
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..

Texte du rabat

A singular resource for researchers seeking to apply artificial intelligence and robotics to materials science In AI and Robotic Technology in Materials and Chemistry Research, distinguished researcher Dr. Xi Zhu delivers an incisive and practical guide to the use of artificial intelligence and robotics in materials science and chemistry. Dr. Zhu explains the principles of AI from the perspective of a scientific researcher, including the challenges of applying the technology to chemical and biomaterials design. He offers concise interviews and surveys of highly regarded industry professionals and highlights the interdisciplinary and broad applicability of widely available AI tools like ChatGPT. The book covers computational methods and approaches from algorithms, models, and experimental data systems, and includes case studies that showcase the real-world applications of artificial intelligence and lab automation in a variety of scientific research settings from around the world. You'll also find:

• A thorough introduction to the challenges currently being faced by chemists and materials science researchers
• Comprehensive explorations of autonomous laboratories powered by artificial intelligence and robotics
• Practical discussions of a blockchain-powered anti-counterfeiting experimental data system in an autonomous laboratory
• In-depth treatments of large language models as applied to autonomous materials research Perfect for materials scientists, analytical chemists, and robotics engineers, AI and Robotic Technology in Materials and Chemistry Research will also benefit analytical and pharmaceutical chemists, computer analysts, and other professionals and researchers with an interest in artificial intelligence and robotics.

Contenu

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