| Title: |
The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? |
| Authors: |
Walker, Matthew; Butler, Keith T. |
| Contributors: |
Engineering and Physical Sciences Research Council |
| Source: |
Materials Horizons ; volume 13, issue 4, page 1993-2004 ; ISSN 2051-6347 2051-6355 |
| Publisher Information: |
Royal Society of Chemistry (RSC) |
| Publication Year: |
2026 |
| Description: |
Simulations and machine learning have promised to be a powerful complement to experimental efforts to discover new photovoltaics – we assess the carbon cost of these approaches. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1039/d5mh01404b |
| Availability: |
https://doi.org/10.1039/d5mh01404b; http://pubs.rsc.org/en/content/articlepdf/2026/MH/D5MH01404B |
| Rights: |
http://creativecommons.org/licenses/by/3.0/ |
| Accession Number: |
edsbas.19FA2214 |
| Database: |
BASE |