Computational and Data Driven Chemistry Using Artificial Intelligence

This book PDF is perfect for those who love Science genre, written by Takashiro Akitsu and published by Elsevier which was released on 08 October 2021 with total hardcover pages 280. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Computational and Data Driven Chemistry Using Artificial Intelligence books below.

Computational and Data Driven Chemistry Using Artificial Intelligence
Computational and Data Driven Chemistry Using Artificial Intelligence
Author : Takashiro Akitsu
File Size : 45,8 Mb
Publisher : Elsevier
Language : English
Release Date : 08 October 2021
ISBN : 9780128232729
Pages : 280 pages
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Computational and Data Driven Chemistry Using Artificial Intelligence by Takashiro Akitsu Book PDF Summary

Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and current developments in the field, giving readers insight into how these tools can be harnessed to enhance their own work. Offering the ability to process large or complex data-sets, compare molecular characteristics and behaviors, and help researchers design or identify new structures, Artificial Intelligence (AI) holds huge potential to revolutionize the future of chemistry. Volume 1 explores the fundamental knowledge and current methods being used to apply AI across a whole host of chemistry applications. Drawing on the knowledge of its expert team of global contributors, the book offers fascinating insight into this rapidly developing field and serves as a great resource for all those interested in exploring the opportunities afforded by the intersection of chemistry and AI in their own work. Part 1 provides foundational information on AI in chemistry, with an introduction to the field and guidance on database usage and statistical analysis to help support newcomers to the field. Part 2 then goes on to discuss approaches currently used to address problems in broad areas such as computational and theoretical chemistry; materials, synthetic and medicinal chemistry; crystallography, analytical chemistry, and spectroscopy. Finally, potential future trends in the field are discussed. Provides an accessible introduction to the current state and future possibilities for AI in chemistry Explores how computational chemistry methods and approaches can both enhance and be enhanced by AI Highlights the interdisciplinary and broad applicability of AI tools across a wide range of chemistry fields

Computational and Data Driven Chemistry Using Artificial Intelligence

Computational and Data Driven Chemistry Using Artificial Intelligence by Takashiro Akitsu

Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and current developments in the field, giving readers insight into how these tools can be harnessed to enhance their own work. Offering the ability to process large or complex data-sets, compare molecular characteristics and behaviors,

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