Kulkarni S. Artificial Intelligence for Chemical Sciences. Concepts,...Apps 2025 torrent

Textbook in PDF format

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.
AI in Chemical Sciences for Designing Synthetic Pathways, Tools, and Techniques
Applications and Case Studies of AI in Chemical Sciences
Computer‑Aided Drug Synthesis and Design
Computational Tools and Techniques in Planning Organic Synthesis
Patenting Artificial Intelligence-Based Technologies in Chemical and Pharmaceutical Sciences
Application of Computational Tools, AI, and ML for Predicting Toxicity and Biodegradation
Toxicity Predication in Chemistry Based on Machine Learning: A Review
Machine Learning Algorithms for Prediction of Chemical Toxicity
Artificial Intelligence-Based Prediction of Drug Metabolism
Exploration of Computational Approaches in Toxicity Prediction
Toxicity Forecasts: Navigating Data‑Driven AI/ML Models: From Theory to Practice
AI‑Based Models for Prediction of Biodegradation
Computer‑Based Technologies for Prediction of Biodegradation
Application of Expert Systems and AI in Fault Diagnosis and Structure Representation
Exploring the Range of Knowledge‑Based Prediction Applications in Chemistry
Fault Diagnosis of Chemical Process Plant Using Artificial Intelligence
Structure Representation Techniques and Applications in Cheminformatics