This document discusses the use of artificial intelligence in chemical research. It outlines that artificial intelligence can be used for predictive modeling, drug discovery, process optimization, data analysis, and material design to revolutionize chemical research. Some key roles of AI in chemistry include enabling retrosynthesis, molecular designing, and predicting reaction outcomes. The document also notes that advances in AI algorithms and interdisciplinary research will shape the future of AI-driven chemical research. In conclusion, artificial intelligence makes the process of solving chemistry problems more efficient and allows for easy design and analysis of new molecules.

1. ARTIFICIAL INTELLIGENCE IN
CHEMICAL RESEARCH
KINGSLEY, HELEN
18/SC/CH/708

2. OUTLINE
 Introduction
 Types of artificial intelligence
 Reasons for artificial intelligence in chemical
research
 Roles of artificial intelligence in Chemistry
 Future perspective and trends in AI-driven
chemical research
 Conclusion

3. INTRODUCTION
 Artificial intelligence (AI),
the ability of a computer-
controlled robot to perform
tasks commonly associated
with intelligence-perceiving,
synthesizing and inferring
information demonstrated
by machines as opposed to
intelligence displayed by
humans.

4. TYPES OF ARTIFICIAL
INTELLIGENCE

5. REASONS FOR ARTIFICIAL
INTELLIGENCE IN CHEMICAL
RESEARCH
 Predictive modeling
 Drugs Discovery
 Process Optimization
 Data analysis
 Material Design
 Revolutionize chemical research

6. ROLES OF ARTIFICIAL
INTELLIGENCE IN CHEMISTRY

7. ROLES OF ARTIFICIAL
INTELLIGENCE CON’D
Retrosynthesis by
Artificial Intelligence
Molecular designing by
Artificial intelligence
Reaction outcomes
prediction by AI
Waste-water
treatment by AI

8. FUTURE PERSPECTIVE AND
TRENDS IN AI-DRIVEN CHEMICAL
RESEARCH
Advances in AI algorithms and models
 AI and interdisciplinary research
 From Artificial Intelligence to Other Fields
 From Other Fields to Artificial Intelligence

9. CONCLUSION
Artificial intelligence in chemistry makes an
efficient effort in solving chemistry problems
with lesser period of time. By using the artificial
intelligence data-based algorithm, it is very
easy to design a new molecule and to
determine the various properties of these
molecules. Many great applications that are
ready to produce easy successes in this new
data science phase of AI with applications in
chemical industries have been developed.

10. THANK YOU!