Artificial Intelligence in Chemistry and Chemical Engineering

From Basics to Practical Exercises

Artificial Intelligence in Chemistry and Chemical Engineering

From Basics to Practical Exercises

€124.30*

Forthcoming

If you require delivery outside DE, AT or CH, please use our contact form for an inquiry.

Integrate AI into chemical research through structured tutorials and exercises

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.

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. A companion website and a specialized large language model deliver continuous interactive support, providing updated resources and ongoing learning opportunities beyond the printed text.

Readers will also find:

  • Foundational machine learning concepts tailored specifically for practitioners working in chemistry and chemical engineering research disciplines
  • Detailed tutorials on building and utilizing chemical reaction big data systems for accelerating discovery and optimizing workflows
  • Real-world case studies demonstrating how AI-driven approaches solve specific challenges in organic synthesis and molecular science
  • Discussion of potential misuse scenarios and regulatory frameworks to navigate responsible AI integration in laboratory settings
  • Practical guidance on constructing next-generation automated high-throughput synthesis platforms for efficient experimental design and execution

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.



Preface

Chapter 1: Introduction to AI in Chemistry: Landscape, Motivation, and Scientific Workflow

Lin Tan

Chapter 2: Fundamentals of AI and Machine Learning

Chonghuan Zhang

Chapter 3: Data Science for Chemists

Chonghuan Zhang

Chapter 4: Cheminformatics

Chonghuan Zhang

Chapter 5: Integrating Automation Tools in Chemical Research

Kai Xue

Chapter 6: Foundations of Predictive Modeling in Chemistry

Chonghuan Zhang

Chapter 7: AI in Chemical Synthesis, Process Optimization, and Automation

Chonghuan Zhang

Chapter 8: Molecular Modeling and Design

Chonghuan Zhang

Chapter 9: Materials Discovery and Design

Chonghuan Zhang

Chapter 10: Analytical Chemistry

Qianghua Lin

Chapter 11: Environmental Chemistry

Qianghua Lin

Chapter 12: AI in Chemical Engineering

Chonghuan Zhang

Chapter 13: AI in Chemical Education and Training

Chan Zhu

Chapter 14: Practical Exercises and Projects

Chonghuan Zhang

Chapter 15: Ethical Considerations and Best Practices in AI for Chemistry

Chonghuan Zhang

Index

Reviews

Average

0 / 5.0

0 Reviews

0%

0%

0%

0%

0%


Leave a review!

Share your experiences with other customers.

ISBN 9783527355112
Media type Book
Copyright year 2026
Publisher Wiley-VCH
Language English