Skip to content

Latest commit

 

History

History
14 lines (7 loc) · 843 Bytes

README.md

File metadata and controls

14 lines (7 loc) · 843 Bytes

Importance learning algorithm to converge site-avergaed kinetics

This repository contains code to perform calculations done in "Site-averaged kinetics for catalysts on amorphous supports: an importance learning algorithm". Please refer to reference 1 for the theory and background of the project.

Usage

All the calculations and and plots generated for reference 1 can be accessed by running ipynb/importance_learning.ipynb. The file generates an amorphous 2D lattice, calculates kinetic barriers, and implements the importance learning algorithm.

References

[1] Vandervelden, C.; Khan, S. A.; Scott, S. L.; Peters, B. Site-averaged kinetics for catalysts on amorphous supports: an importance learning algorithm. React. Chem. Eng. 2020, 5, 77-86.