๐Ÿ“š Welcome to RSYN PRESS โ€” Digital First Academic Publishing | Peer-Reviewed | Affordable APC | Submit Your Manuscript Today!
RSYN PRESS Logo RSYN PRESS

RSYN PRESS

Open Access Books & Scholarly Publishing Platform

Disseminating knowledge for research and innovation through peer-reviewed academic publications.

Chapter DP-54

Role of Artificial Intelligence and Machine Learning in Accelerating Green Chemistry

Saurav Verma

Abstract

AI/ML models enhance accuracy and speed of predictive toxicology. Machine learning identified novel earth-abundant catalysts. AI-driven platforms demonstrated reduction in solvent usage and improved atom economy.

Keywords: AI; Machine Learning; Green Chemistry; Predictive toxicology; Catalyst design

Open Access Chapter

This chapter is freely available under Creative Commons licensing

License:
RSYN Open Access Licence
Format:
Open Access

Chapter Content

The full chapter content is available in the PDF version. The abstract above provides a comprehensive overview of this chapter's contributions.

Access Full Chapter

Read the complete chapter with all sections, figures, and references

PDF Download

Complete chapter with citations

Full Chapter Content

More from this Book