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Artificial Intelligence for Chemical Sciences : Concepts, Models, and Applications

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Τίτλος: Artificial Intelligence for Chemical Sciences : Concepts, Models, and Applications
Περιγραφή: Chemists are increasingly employing artificial intelligence (AI) for diversified applications. This new volume explores the use of AI and its various computer-aided applications for the design of new drugs and chemical products, for toxicity prediction and biodegradation, and for fault diagnosis in chemical processing plants. The volume explores knowledge and reasoning-based approaches of the field of chemintelligence to make predictions about the right molecules with given structures and properties as precursors or starting materials, reaction pathways, reaction conditions, improvement in reaction efficiency and selectivity, toxicity, metabolism, biodegradation, and more.
Συγγραφείς: Shrikaant Kulkarni, Shashikant Bhandari, Dushyant Varshney, P. William
Resource Type: eBook.
Θέματα: Chemistry--Data processing, Drug development--Data processing, Artificial intelligence
Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Chemical & Biochemical
Βάση Δεδομένων: eBook Index
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  Availability: 0
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  Data: Chemists are increasingly employing artificial intelligence (AI) for diversified applications. This new volume explores the use of AI and its various computer-aided applications for the design of new drugs and chemical products, for toxicity prediction and biodegradation, and for fault diagnosis in chemical processing plants. The volume explores knowledge and reasoning-based approaches of the field of chemintelligence to make predictions about the right molecules with given structures and properties as precursors or starting materials, reaction pathways, reaction conditions, improvement in reaction efficiency and selectivity, toxicity, metabolism, biodegradation, and more.
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      – Code: eng
        Text: English
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      – SubjectFull: Chemistry--Data processing
        Type: general
      – SubjectFull: Drug development--Data processing
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              Type: published
              Y: 2025
            – D: 03
              M: 07
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              Y: 2025
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