📣 Try out the NEW Gateway to Research and let us know what you think.

We're looking for users to test the new service during August and September and share their feedback. Express your interest by completing this short form.

Dynamic optimisation of CO2 electrochemical reduction processes driven by intermittent renewable energy: Hybrid deep learning approach (2023)

First Author: Tai X
Attributed to:  Digital Circular Electrochemical Economy (DCEE) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.dche.2023.100123

Publication URI: http://dx.doi.org/10.1016/j.dche.2023.100123

Type: Journal Article/Review

Parent Publication: Digital Chemical Engineering