{"product_id":"artificial-intelligence-in-chemistry-and-chemical-engineering-from-basics-to-practical-exercises-hardcover","title":"Artificial Intelligence in Chemistry and Chemical Engineering: From Basics to Practical Exercises - Hardcover","description":"\u003cp\u003eby \u003cb\u003eKuangbiao Liao\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eIntegrate AI into chemical research through structured tutorials and exercises\u003cbr\u003e \u003cbr\u003e 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.\u003cbr\u003e \u003cbr\u003e 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.\u003cbr\u003e \u003cbr\u003e Readers will also find: \u003cbr\u003e \u003cbr\u003e * Foundational machine learning concepts tailored specifically for practitioners working in chemistry and chemical engineering research disciplines\u003cbr\u003e * Detailed tutorials on building and utilizing chemical reaction big data systems for accelerating discovery and optimizing workflows\u003cbr\u003e * Real-world case studies demonstrating how AI-driven approaches solve specific challenges in organic synthesis and molecular science\u003cbr\u003e * Discussion of potential misuse scenarios and regulatory frameworks to navigate responsible AI integration in laboratory settings\u003cbr\u003e * Practical guidance on constructing next-generation automated high-throughput synthesis platforms for efficient experimental design and execution\u003cbr\u003e \u003cbr\u003e 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.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIntegrate AI into chemical research through structured tutorials and exercises\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eChemists adopting AI methods need discipline-specific training beyond generic introductions. \u003ci\u003eArtificial Intelligence in Chemistry and Chemical Engineering: From Basics to Practical Exercises\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eCoverage 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. \u003c\/p\u003e\u003cp\u003eReaders will also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFoundational machine learning concepts tailored specifically for practitioners working in chemistry and chemical engineering research disciplines\u003c\/li\u003e\n\u003cli\u003eDetailed tutorials on building and utilizing chemical reaction big data systems for accelerating discovery and optimizing workflows\u003c\/li\u003e\n\u003cli\u003eReal-world case studies demonstrating how AI-driven approaches solve specific challenges in organic synthesis and molecular science\u003c\/li\u003e\n\u003cli\u003eDiscussion of potential misuse scenarios and regulatory frameworks to navigate responsible AI integration in laboratory settings\u003c\/li\u003e\n\u003cli\u003ePractical guidance on constructing next-generation automated high-throughput synthesis platforms for efficient experimental design and execution\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eDesigned 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.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKuangbiao Liao\u003c\/b\u003e 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 544\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.19 x 9.61 x 6.69 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 26, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":71744022118653,"sku":"9783527355112","price":197.08,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/3414\/0157\/files\/FMwzfgtqFc9783527355112.webp?v=1793299922","url":"https:\/\/booktolia.com\/products\/artificial-intelligence-in-chemistry-and-chemical-engineering-from-basics-to-practical-exercises-hardcover","provider":"booktolia","version":"1.0","type":"link"}