Buch, Englisch, 208 Seiten, Format (B × H): 171 mm x 245 mm, Gewicht: 548 g
ISBN: 978-3-527-35428-3
Verlag: Wiley-VCH GmbH
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.
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Werkstoffkunde, Materialwissenschaft: Forschungsmethoden
- Naturwissenschaften Chemie Analytische Chemie Instrumentelle Analytik, Chromatographie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
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
