Transport and noise in resonant tunneling diode using self-consistent Green function calculation
Van Nam Do, Philippe Dollfus, Van Lien Nguyen

TL;DR
This paper develops a self-consistent non-equilibrium Green functions approach to study quantum transport in resonant tunneling diodes, analyzing potential profiles, current-voltage characteristics, and noise spectra at various device parameters.
Contribution
It introduces a comprehensive NEGF-based method for modeling quantum transport and noise in RTDs, accounting for charge interactions and device geometry effects.
Findings
Resonant tunneling behavior depends on well width, barrier thickness, and temperature.
The approach accurately predicts potential, density, and current profiles in RTDs.
Charge interactions lead to noise enhancement in negative differential conductance regions.
Abstract
The fully self-consistent non-equilibrium Green functions (NEGFs) approach to the quantum transport is developed for the investigation of one-dimensional nano-scale devices. Numerical calculations performed for resonant tunneling diodes (RTDs) of different designs and at different temperatures show reasonable results for the potential and electron density profiles, as well as for the transmission coeffcient and the current-voltage characteristics. The resonant behavior is discussed in detail with respect to the quantum-well width, the barrier thickness, and the temperature. It is also shown that within the framework of approach used the current noise spectral density can be straightforwardly calculated for both the coherent and the sequential tunneling models. In qualitative agreement with experiments, obtained results highlight the role of charge interaction which causes a fluctuation…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
