{"product_id":"artificial-intelligence-in-chemistry-and-chemical-engineering-kuangbiao-liao","title":"Artificial Intelligence in Chemistry and Chemical Engineering (Kuangbiao Liao)","description":"\u003cdiv\u003eIntegrate AI into chemical research through structured tutorials and exercises\u003cbr\u003e \u003cbr\u003eChemists 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\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.\u003cbr\u003e \u003cbr\u003eReaders 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\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\/div\u003e\u003ch4\u003eAutorenportrait\u003c\/h4\u003e\u003cdiv\u003eKuangbiao 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. He received his Ph.D. from Emory University in the United States in 2017. In 2018, he joined AbbVie Pharmaceuticals, and in 2019, he returned to China to join the Bio-Island Laboratory and then moved to Guangzhou National Laboratory. His research interests focus on AI chemistry. He has long been dedicated to designing and constructing the next generation of automated high-throughput synthesis platforms, building a big data system for chemical reactions, developing artificial intelligence reaction prediction models, and creating new methodologies for organic synthesis.\u003c\/div\u003e\u003ch4\u003eWeitere Angaben\u003c\/h4\u003e\u003cdiv\u003eBuch (Hardcover), Englisch, 544 Seiten\u003c\/div\u003e","brand":"Weltbild.ch: Bücher \u0026 Outlet","offers":[{"title":"Default Title","offer_id":66166491873629,"sku":"K010499879","price":195.7,"currency_code":"CHF","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0911\/8915\/0045\/files\/1049987900001A.jpg?v=1791618577","url":"https:\/\/weltbild.ch\/products\/artificial-intelligence-in-chemistry-and-chemical-engineering-kuangbiao-liao","provider":"Weltbild.ch Bücher \u0026 Outlet","version":"1.0","type":"link"}