A machine learning framework for the analysis and prediction of catalytic activity from experimental data

Article

Abstract: We present a machine learning framework to explore the predictability limits of catalytic activity f

Palabras claves:

Catalysis, Data Analysis, High-dimensional, Machine learning, pbkp_redictability

Autores:

Dumesic J., Huber G.W., Keane A., Smith A.D., Víctor M. Zavala

Fuentes:

scopus