Year: 2024
Type: article
Abstract: There is evidence of the presence of intercalated water between graphene and the substrate in electronic devices. However, a proper understanding of the impact of this phenomenon, which causes important limitations for the optimization of graphene-based devices operating in aqueous electrolytes, is missing. We used graphene-based electrodes on insulating and conducting substrates to evaluate the impact of intercalated water by combining experimental techniques with numerical simulations. Results show that the capacitance of the conductive substrate/graphene electrodes is significantly higher than that of the insulating substrate/graphene ones. Meanwhile, Raman spectroscopy demonstrates that graphene charge modulation with the applied potential is independent of the substrate conductivity. We found that this intriguing behavior is influenced by the water intercalation phenomena and governed by the substrate conductive nature. This work contributes to the understanding of the electric response of graphene-based devices in an aqueous environment and of the methods to measure and model it.
Source: Nano Letters
Institutions: Institut Català de Nanociència i Nanotecnologia, Universidad de Granada, Consejo Superior de Investigaciones Científicas, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine, Centro Nacional de Microelectrónica, Institut de Microelectrònica de Barcelona, Institució Catalana de Recerca i Estudis Avançats
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Funders: Ministerio de Ciencia, Innovación y Universidades, Graphene Flagship, European Commission, Generalitat de Catalunya, Ministerio de Ciencia e Innovación, Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, Universitat de Barcelona, Universitat Autònoma de Barcelona, Agencia Estatal de Investigación, European Social Fund, H2020 Future and Emerging Technologies
Awards: G1064039696, G1175115578, G121809054, G1855990336, G1858345700, G2064873908, G210041235, G2115222242, G2213073357, G2262748287, G2309174360, G2478318928, G2522753747, G2601397997, G2660406951, G279363373, G295035547, G3005324705, G300979063, G3320050967, G3404371184, G34346518, G3480869486, G3518538256, G3546882995, G3681454997, G3724564097, G4042783231, Graphene Flagship Core Project 3, G425668148, G430777504, G434337789, G4442677895, G4526231891, G4908821806, G499301032, G5080475149, Graphene Flagship Core Project 3, G5195188938, G5338730000, G533957086, G5421974903, G5639455921, G5805502524, G624877701, G6517602004, G69051668, G6988416435, G7020558748, G7084143925, G7434936867, G7460046012, G7511463721, G8040421372, G897484643, G93289562, G99296377
OpenAlex ID: W4402217163