Machine Learning-Powered Exploration of Catalytic Reaction Networks for CO₂ Conversion into Value-Added Chemicals

Mikhail V. Polynski, Sergey M. Kozlov

Keywords: Catalysis, Reaction Networks, CO2 conversion, Gradient Boosting, Kernel Ridge Regression, Neural Networks, Attention-Based Models, Machine Learning Inference

TL;DR: This presentation explores how machine learning inference was implemented and leveraged to predict activation energies across catalytic reaction networks, accelerating the design of catalysts for CO₂ conversion.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 50