Large, light-induced capacitance enhancement in semiconductor junctions simulated by capacitor-resistor nets
B. Vainas

TL;DR
This paper demonstrates that large, light-induced capacitance enhancement in semiconductor junctions can be simulated using resistor-capacitor networks, showing a significant increase in apparent dielectric constant under illumination due to increased conductivity.
Contribution
The study introduces a modified R-C network model that captures light-induced dielectric enhancement in semiconductors without complex physical assumptions.
Findings
Dielectric constant increases by three orders of magnitude at low frequencies.
Photo-generated charge carriers significantly boost bulk conductivity.
Enhanced conductivity confines space charge region to the interface.
Abstract
The equivalent circuit simulation of random resistors-capacitors (R-C) net, modified to include large capacitors interfacing between the random R-C bulk and the electrode surface, shows an enhancement of 3 orders of magnitude of the apparent real dielectric constant at low frequencies upon an introduction of resistors percolating paths in the bulk. The appearance of the bulk R-percolating paths can represent the photo-generated high conductivity state of semiconductors bulk, an effect supported by the experimental observation that, in parallel with the photo-enhancement of the real dielectric constant, its imaginary part is strongly enhanced as well. The addition of the photo-generated charge carriers strongly enhances bulks electrical conductivity, effectively confining the space charge region to the interface between bulks edge and the electrode. That could be a simple…
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.
Taxonomy
TopicsAdvanced Memory and Neural Computing · Transition Metal Oxide Nanomaterials · Analytical Chemistry and Sensors
