📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! Tell us what works, what doesn't, and how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community. Please send your feedback to gateway@ukri.org by 11 August 2025.

Innovative Photocatalyst Design: Advancing ZnO/MIL-100(Fe) through Atomic Layer Deposition in Hydrogen Evolution (2024)

First Author: Parsa Amouzesh S

Attributed to: Acquiring chemical intuition into the catalytic properties of UiO-type monolithic frameworks using machine learning techniques funded by Horizon Europe Guarantee

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/cctc.202401016

Publication URI: http://dx.doi.org/10.1002/cctc.202401016

Type: Journal Article/Review

Parent Publication: ChemCatChem

Issue: 21