ePrints

Systematic data-driven modelling of bimetallic catalyst performance for hydrogenation of 5-ethoxymethylfurfural with variable selection and regularization

Lookup NU author(s): Dr Fernando Russo AbegaoORCiD

Downloads

• Published version [.pdf]

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Uusitalo P, Sorsa A, Ohenoja M, Russo Abegão F, Ruusunen M

Publication type: Article

Publication status: Published

Journal: Industrial & Engineering Chemistry Research

Year: 2022

Volume: 61

Issue: 14

Pages: 4752-4762

Online publication date: 31/03/2022

Acceptance date: 21/03/2022

Date deposited: 06/10/2021

ISSN (print): 0888-5885

ISSN (electronic): 1520-5045

Publisher: American Chemical Society

URL: https://doi.org/10.1021/acs.iecr.1c03995

DOI: 10.1021/acs.iecr.1c03995

Altmetrics

Funding

Share