Hybrid Classical-Quantum Models for Charge Transport in Graphene with Sharp Potentials. Issue 3 (16th April 2017)
- Record Type:
- Journal Article
- Title:
- Hybrid Classical-Quantum Models for Charge Transport in Graphene with Sharp Potentials. Issue 3 (16th April 2017)
- Main Title:
- Hybrid Classical-Quantum Models for Charge Transport in Graphene with Sharp Potentials
- Authors:
- Barletti, L.
Negulescu, C. - Abstract:
- ABSTRACT: We give a concise account on the derivation of hybrid quantum-classical models for stationary electron transport in graphene, in presence of sharp potential steps or barriers. A quantum region (an asymptotically thin strip around the potential step or barrier) is coupled through the quantum scattering data to a classical region, where electron transport is described in terms of semiclassical kinetic equations. The diffusive limit of the kinetic model is derived by means of the Hilbert expansion method, which requires the introduction of a boundary layer corrector and the discussion of a system of coupled Milne problems.
- Is Part Of:
- Journal of computational and theoretical transport. Volume 46:Issue 3(2017)
- Journal:
- Journal of computational and theoretical transport
- Issue:
- Volume 46:Issue 3(2017)
- Issue Display:
- Volume 46, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 46
- Issue:
- 3
- Issue Sort Value:
- 2017-0046-0003-0000
- Page Start:
- 159
- Page End:
- 175
- Publication Date:
- 2017-04-16
- Subjects:
- Diffusion limit -- graphene -- Milne problem -- transmission conditions
Transport theory -- Periodicals
Statistical physics -- Periodicals
Statistical physics
Transport theory
Periodicals
530.138 - Journal URLs:
- http://www.tandfonline.com/toc/ltty20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/23324309.2017.1304963 ↗
- Languages:
- English
- ISSNs:
- 2332-4309
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2798.xml