Hydrodynamical models for charge transport in graphene based on the Maximum Entropy Principle: the case of moments based on energy powers
DOI:
https://doi.org/10.1478/AAPP.96S1A5Parole chiave:
Graphene, charge transport, maximum entropy principle.Abstract
Hydrodynamical models for charge transport in graphene can be obtained as moment equations of the semiclassical Boltzmann equation in which the needed closure relations are obtained by resorting to the Maximum Entropy Principle (Jaynes 1957; Jou and Lebon 2010; Mascali and Romano 2005; Müller and Ruggeri, 1998). Several choices of the weight functions defining the moments can be made. The aim of this paper is analyzing the case in which the moments are expectation values of powers of the energy and a comparison is performed with the results given by directly solving the transport equation through the method in Coco et al. (2016) and Romano et al. (2015). It has been found out that adding new moments, representing further expectation values of powers of energy, with respect to those already considered in Camiola and Romano (2014) does not improve the accuracy of the model.Dowloads
Pubblicato
2018-08-13
Fascicolo
Sezione
Special issue in memory of Prof. Gaetano Giaquinta
Licenza

This work is licensed under a Creative Commons Attribution 4.0 International License.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).