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

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Insights from experiment and machine learning for enhanced TiO 2 coated glazing for photocatalytic NO x remediation (2024)

First Author: Lin Z

Attributed to: Design rules for defect-tolerant photovoltaics funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1039/d4ta01319k

Publication URI: http://dx.doi.org/10.1039/d4ta01319k

Type: Journal Article/Review

Parent Publication: Journal of Materials Chemistry A

Issue: 22