AI and Robotic Technology in Materials and Chemistry Research
Reduzierte Artikel in dieser Kategorie
2,99 €
| Verlag | Wiley-VCH |
| Auflage | 2024 |
| Seiten | 208 |
| Format | 17,5 x 1,5 x 1,5 cm |
| Gewicht | 666 g |
| Artikeltyp | Englisches Buch |
| ISBN-10 | 352735428X |
| EAN | 9783527354283 |
| Bestell-Nr | 52735428A |
provides a necessary and timely introduction for the materials and chemistry scientist with traditional synthesis skills, about why and how to accept digitalization.
Inhaltsverzeichnis:
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 TH E 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
