APPLICATION OF MACHINE LEARNING IN PREDICTING ELECTROCHEMICAL REACTION OUTCOMES
Abstract
Machine learning (ML) is increasingly used to predict and optimize electrochemical reactions by analyzing complex datasets and revealing hidden patterns. This study reviews ML applications in catalyst performance, reaction selectivity, and mechanism prediction, emphasizing challenges in data quality and model interpretability.
Fields of Study & Subjects
Machine Learning in Materials Science
CO2 Reduction Techniques and Catalysts
Electrocatalysts for Energy Conversion
Publication details
- Journal / source
- INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY
- Publisher
- Kokand State Pedagogical Institute
- Pages
- 163–166
- Publication date
- 25 February 2026