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This book examines how artificial intelligence (AI) and molecular modeling combine to enrich the field of bioinorganics. It introduces the basic concepts of bioinorganics, modeling tools such as quantum mechanics, molecular dynamics and the Monte Carlo method, as well as the principles of AI, including supervised and unsupervised learning. Exploring the fusion of AI with these tools, the book illustrates practical case studies, addresses technical challenges, and offers insights for the future. It also provides resources and tools to deepen knowledge and foster innovation in these emerging fields.
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This book examines how artificial intelligence (AI) and molecular modeling combine to enrich the field of bioinorganics. It introduces the basic concepts of bioinorganics, modeling tools such as quantum mechanics, molecular dynamics and the Monte Carlo method, as well as the principles of AI, including supervised and unsupervised learning. Exploring the fusion of AI with these tools, the book illustrates practical case studies, addresses technical challenges, and offers insights for the future. It also provides resources and tools to deepen knowledge and foster innovation in these emerging fields.