Artificial Intelligence in Chemistry and Chemical Engineering (Hardcover)
Language: English
Published by Wiley-VCH Verlag GmbH, Berlin, 2026
- Hardcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
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Hardcover. Integrate AI into chemical research through structured tutorials and exercises Chemists adopting AI methods need discipline-specific training beyond generic introductions. Artificial Intelligence in Chemistry and Chemical Engineering: From Basics to Practical Exercises provides a step-by-step tutorial guiding researchers through AI, automation, data science, and cheminformatics. Progressing from foundational concepts to advanced applications, hands-on exercises and real-world case studies enable direct application to ongoing research programs. Coverage spans AI reaction prediction models, automated high-throughput synthesis platforms, and chemical reaction big data systems. The book addresses ethical implications and regulatory considerations for AI deployment in chemistry. Readers will also find: Foundational machine learning concepts tailored specifically for practitioners working in chemistry and chemical engineering research disciplinesDetailed tutorials on building and utilizing chemical reaction big data systems for accelerating discovery and optimizing workflowsReal-world case studies demonstrating how AI-driven approaches solve specific challenges in organic synthesis and molecular scienceDiscussion of potential misuse scenarios and regulatory frameworks to navigate responsible AI integration in laboratory settingsPractical guidance on constructing next-generation automated high-throughput synthesis platforms for efficient experimental design and execution Designed for organic, physical, theoretical, medicinal, analytical, pharmaceutical, and environmental chemists, as well as materials scientists, chemical engineers, and computer scientists, this book delivers the structured training required to apply AI methods directly to chemical research and industrial practice. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9783527355112
- Title
- Artificial Intelligence in Chemistry and Chemical Engineering (Hardcover)
- Author
- Kuangbiao Liao
- Publisher
- Wiley-VCH Verlag GmbH, Berlin
- Publication year
- 2026
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3527355111
- ISBN 13
- 9783527355112
Integrate AI into chemical research through structured tutorials and exercises
Chemists adopting AI methods need discipline-specific training beyond generic introductions. Artificial Intelligence in Chemistry and Chemical Engineering: From Basics to Practical Exercises provides a step-by-step tutorial guiding researchers through AI, automation, data science, and cheminformatics. Progressing from foundational concepts to advanced applications, hands-on exercises and real-world case studies enable direct application to ongoing research programs.
Coverage spans AI reaction prediction models, automated high-throughput synthesis platforms, and chemical reaction big data systems. The book addresses ethical implications and regulatory considerations for AI deployment in chemistry.
Readers will also find:
- Foundational machine learning concepts tailored specifically for practitioners working in chemistry and chemical engineering research disciplines
- Detailed tutorials on building and utilizing chemical reaction big data systems for accelerating discovery and optimizing workflows
- Real-world case studies demonstrating how AI-driven approaches solve specific challenges in organic synthesis and molecular science
- Discussion of potential misuse scenarios and regulatory frameworks to navigate responsible AI integration in laboratory settings
- Practical guidance on constructing next-generation automated high-throughput synthesis platforms for efficient experimental design and execution
Designed for organic, physical, theoretical, medicinal, analytical, pharmaceutical, and environmental chemists, as well as materials scientists, chemical engineers, and computer scientists, this book delivers the structured training required to apply AI methods directly to chemical research and industrial practice.
"Synopsis" may belong to another edition of this title.
About the Author
Kuangbiao Liao is a Principal Investigator at the Guangzhou National Laboratory, a member of the All-China Youth Federation, and a standing member of the Guangzhou Association for Science and Technology. His research focuses on AI chemistry, including automated high-throughput synthesis platforms, chemical reaction big data systems, artificial intelligence reaction prediction models, and new methodologies for organic synthesis. He previously worked at AbbVie Pharmaceuticals before returning to China.
"About the title" may belong to another edition of this title.
CitiRetail
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