Repositori institucional URV
| Author: | Alagh, Aanchal |
| Published by (editorial): | Universitat Rovira i Virgili (URV) |
| Funding program action: | 2019PMF-PIPF-37/Programa Martí i Franques - Universitat Rovira i Virgili; ref. RTI2018-098577-B-C21/Ministerio de Economía y Competitividad; ref. RTI2018-098577-B-C21/Ministerio de Economía y Competitividad; 798038/H2020 Marie Skłodowska-Curie Actions |
| Document type: | info:eu-repo/semantics/other |
| Abstract: | This file contains the raw data used in the paper entitled CVD growth of self-assembled 2D and 1D WS2 nanomaterials for the ultrasensitive detection of NO2 published in Sensors and Actuators: B. Chemical 326 (2021) 128813 |
| Dataset publication year: | 2022 |
| Research group: | Metabolomics Interdisciplary Laboratory |
| Researcher identifier: | 0000-0003-2466-8219 |
| Related publications: | Alagh, A., Annanouch, F. E., Umek, P., Bittencourt, C., Sierra-Castillo, A., Haye, E., Colomer, J. F., & Llobet, E. (2021). CVD growth of self-assembled 2D and 1D WS2 nanomaterials for the ultrasensitive detection of NO2. Sensors and Actuators B: Chemical, 326, 128813. https://doi.org/10.1016/j.snb.2020.128813 |
| Keywords: | Gas sensor AACVD CVD WS2 TMDs |
| Departament: | Enginyeria Electrònica, Elèctrica i Automàtica |
| Related publication's DOI: | 10.1016/j.snb.2020.128813 |
| Subject matter: | Enginyeria |
| Access rights: | info:eu-repo/semantics/openAccess |
| DOI: | 10.5281/zenodo.5900445 |
| Dataset title: | Dataset for "CVD growth of self-assembled 2D and 1D WS2 nanomaterials for the ultrasensitive detection of NO2" |
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