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AI and Robotic Technology in Materials and Chemistry Research
US $154.00
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Located in: Lansdale, PA, United States
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eBay item number:357181793588
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Personalized
- No
- Educational Level
- Adult & Further Education
- Level
- Advanced
- Country/Region of Manufacture
- Germany
- ISBN
- 9783527354283
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
352735428X
ISBN-13
9783527354283
eBay Product ID (ePID)
25072581540
Product Key Features
Number of Pages
208 Pages
Language
English
Publication Name
Ai and Robotic Technology in Materials and Chemistry Research
Publication Year
2024
Subject
Materials Science / General, Intelligence (Ai) & Semantics, Chemistry / Analytic
Type
Textbook
Subject Area
Computers, Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Height
0.6 in
Item Weight
23.5 Oz
Item Length
9.6 in
Item Width
6.7 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Dewey Decimal
620.11072
Table Of Content
Preface ix About the Author xi Acknowledgments xiii 1 Survey of Challenges in Chemistry and Materials Science Research 1 1.1 Introduction 1 1.2 Energy Form 2 1.2.1 Steam Power 2 1.2.2 Electricity Power 4 1.2.3 Other Energy Forms 8 1.3 Data 11 References 19 2 Robots Technology Development in Modern Scientific Research 21 2.1 Introduction 21 2.2 Early Development of Laboratory Automation (Before 2000) 22 2.2.1 Early Automation Technologies 22 2.2.2 Laying the Foundation for AI and Robotics 29 2.3 Preliminary Integration and Development of Laboratory Automation (2000-2019) 31 2.3.1 Automation Technologies (2000-2010) 31 2.3.2 Various Forms of Exploration Based on Established Foundations 41 2.4 Latest Developments and Current Trends (2020-2023) 42 2.4.1 Automation Technologies in Five Years 42 2.4.2 Mature Industrialization as well as In-depth Exploration 50 2.5 Outlook on Future Development 52 2.6 Conclusion 54 References 55 3 AI Algorithm for Chemical and Bio-material Design 57 3.1 Introduction 57 3.2 Molecular Representation and Encoding 58 3.2.1 Linear Notations for Molecules 58 3.2.2 Graph Representations for Molecules 63 3.3 The Formulation of Accessible and Searchable Data 66 3.3.1 Traditional Way for Molecular Structure-Property Relationship Determination: The Kohn-Sham Equation 66 3.3.2 Dataset Preprocessing 68 3.3.3 Current Existing Dataset 69 3.4 AI for Molecular Structure-Property Relationship 71 3.4.1 The Deep Learning Technology 72 3.4.2 AI Solving the Kohn-Sham Equation 75 3.5 AI for Chemical and Bio-material Design 78 3.5.1 Design Workflows 78 3.5.2 Example of Designed Chemical and Bio-materials 79 References 81 4 Autonomous Laboratory Empowered by AI and Robotics 85 4.1 Evolution of Laboratory 85 4.2 Core Technologies in Autonomous Laboratories 85 4.2.1 Autonomous Laboratory Components 85 4.2.2 Reinforcement Learning 89 4.3 Example Autonomous Laboratory Solution 90 4.3.1 Automatic Device only Solution 90 4.3.2 Solution that Including Design and React 91 4.3.3 Solution in Reaction Optimization 92 4.3.4 Solutions Contain Full Phases 94 4.4 Advanced Autonomous Laboratory Solutions 98 4.4.1 Advanced Experimental Data Analysis Methods 98 4.4.2 Design and Analysis in the Large Model Era 104 4.4.3 Experiment Visualization 106 4.5 Future Prospects and Trends 108 References 110 5 Large Language Models for the Autonomous Material Research 113 5.1 Review of Large Language Models Development and Applications 113 5.2 Fundamentals of LLM for Material Research: Database and Knowledge Base Construction 121 5.3 Evaluation: Spider Matrix 124 5.4 Ideation: AI Supervisor and ScholarNet 130 5.5 Results and Discussion 134 5.6 Conclusion 136 References 136 6 Toward a Blockchain-Powered Anti-Counterfeiting Experimental Data System in an Autonomous Laboratory 139 6.1 Blockchain Technology 139 6.2 Laboratory Chemical Management and Safety 143 6.3 The Problem of Data Integrity and Counterfeiting in Scientific Research 145 6.4 Blockchain in the Autonomous Laboratory 150 6.5 Symbolic Representation of Experiments 155 6.6 Challenges and Limitations 157 6.6.1 Standard Compilation for Experiment Methods 157 6.6.2 High Cost for PoW and PoS 158 6.6.2.1 Data Storage Safety 158 6.7 Conclusion 159 References 160 7 The Future Integrated Computational and Experimental Research in Metaverse 163 7.1 Introduction of Metaverse 163 7.1.1 Industry 5.0 Protocol 163 7.1.2 Current Development of Metaverse 164 7.1.3 Human-in-Loop Paradigm 165 7.2 Research Paradigm in Metaverse 165 7.3 Autonomous High-Throughput Experiments 166 7.3.1 Theory Driven by AI 168 7.3.2 HIL Implementation 169 7.3.3 AI Prediction 171 7.4 H2O Phase Research in Metaverse 172 7.5 Aqueous System Research in Metaverse 176 7.6 Challenges and Future Directions 182 References 182 Index 187
Synopsis
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.
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- eBay automated feedback- Feedback left by buyer.Past monthOrder delivered on time with no issues
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