ML_direct_N2O_decomposition

Data repository consisting of machine learning code written in Python (.py and .ipynb), experimental datasets (.xlsx), and a README.md file describing the code for proposing a multi-element heterogeneous catalyst effective for direct N2O decomposition. In addition, the code package test.zip was prepared to enable reproduction and hands-on experience of the catalyst discovery workflow on a Jupyter Notebook (grid_search_test_1cycle.ipynb) with only an Anaconda environment.