Revealing and engineering contact-origin noise in ultrathin tellurium transistors

Abstract

Tellurium (Te) has emerged as a promising p-type semiconductor for ultrathin electronics owing to its strong air stability, excellent hole transport, narrow bandgap, and BEOL-integration compatibility. However, when the Te thickness approaches the depletion width, traps at the contact interface strongly affect carrier injection and introduce excess low-frequency noise. Here, we systematically investigate the origin of noise in ultrathin Te field-effect transistors (FETs) through bias- and temperature-dependent 1/f noise analysis. In devices with a 5 nm Te channel, contact-origin trap-assisted tunneling dominates in the low-current regime, producing deviations from the carrier-number-fluctuation (CNF) model at 300 K. Cooling to 100 K suppresses trap activation and restores typical CNF behavior, whereas 13 nm devices maintain CNF consistency at both temperatures due to screening of the contact region. To mitigate contact-origin noise, a locally thickened (13 nm) Te layer was inserted beneath the source and drain metal contact while preserving a 5 nm active Te channel. This design restores CNF behavior at room temperature, lowers the noise level in the nA current regime by an order of magnitude, and decreases the drain-bias dependence of noise by approximately twofold. The results identify near-contact traps as the primary noise source in ultrathin Te and demonstrate contact-centric engineering as an effective strategy to decouple device scaling from noise, enabling reliable, low-noise Te electronics.

Graphical abstract: Revealing and engineering contact-origin noise in ultrathin tellurium transistors

Supplementary files

Article information

Article type
Paper
Submitted
14 Nov 2025
Accepted
02 Mar 2026
First published
13 Mar 2026
This article is Open Access
Creative Commons BY license

Nanoscale Adv., 2026, Advance Article

Revealing and engineering contact-origin noise in ultrathin tellurium transistors

H. Lee, M. Kim, J. Ban, J. H. Jun, K. Kim, U. Choi, J. T. Lee and B. H. Lee, Nanoscale Adv., 2026, Advance Article , DOI: 10.1039/D5NA01062D

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