Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Reshaping Experimental Organic Research with Smart in Silico Tools: Invitation to Artificial Intelligence-Equipped Organic Lab

Reshaping Experimental Organic Research with Smart in Silico Tools: Invitation to Artificial Intelligence-Equipped Organic Lab

Belostotskii, Anatoly M.

Hardcover

ChemistryGeneral Computers

PREORDER - Expected ship date October 30, 2026

ISBN10: 981128167X
ISBN13: 9789811281679
Publisher: World Scientific Publishing Company
Published: Oct 30 2026
Pages: 350
Language: English
Artificial intelligence (AI) is extensively used in scientific research nowadays and has reshaped the practice in academia, industry, business, cybersecurity, etc. However, this revolution has not touched organic chemistry, the field appreciably frozen in its methods, until the last few years.This book is the first to introduce the contemporary AI-driven computerization of organic laboratory. It is designed to be a basic practical guide that is organic chemist-friendly, dispensing with abstract treatments of the mathematical theory of machine learning, while strongly focusing on the recently developed mélange of AI-carrying software that simplify and accelerate the planning of organic synthesis and structure elucidation. It will explain to organic, bioorganic, and natural product chemists what AI and its applicative approaches are, while techniques of these AI approaches will be schematically described. Perspectives of using AI in instrumental separation of organic compounds will also be discussed.For researchers from organic laboratories worldwide, this book is certainly the timely key to the toolbox of various chemistry-oriented AI software that is beginning to revolutionize the age-old practice of experimental organic research.

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