Busca avançada
Ano de início
Entree


Ultrathin nanocapacitor assembled via atomic layer deposition

Texto completo
Autor(es):
Medina, Javier Alonso Lopez ; Mejia-Salazar, J. Ricardo ; Carvalho, William O. F. ; Mercado, Cesar Lopez ; Nedev, N. ; Gomez, Faustino Reyes ; Oliveira Jr, Osvaldo N. ; Farias, M. H. ; Tiznado, Hugo
Número total de Autores: 9
Tipo de documento: Artigo Científico
Fonte: Nanotechnology; v. 35, n. 50, p. 11-pg., 2024-12-09.
Resumo

We fabricated ultrathin metal-oxide-semiconductor (MOS) nanocapacitors using atomic layer deposition. The capacitors consist of a bilayer of Al2O3 and Y2O3 with a total thickness of similar to 10 nm, deposited on silicon substrate. The presence of the two materials, each slab being similar to 5 nm thick and uniform over a large area, was confirmed with transmission electron microscopy and x-ray photoelectron spectroscopy. The capacitance in accumulation varied from 1.6 nF (at 1 MHz) to similar to 2.8 nF (at 10 kHz), which is one to two orders of magnitude higher than other nanocapacitors. This high capacitance is attributed to the synergy between the dielectric properties of ultrathin Al2O3 and Y2O3 layers. The electrical properties of the nanocapacitor are stable within a wide range of temperatures, from 25 degrees C to 150 degrees C, as indicated by capacitance-voltage (C-V). Since the thickness-to-area ratio is negligible, the nanocapacitor could be simulated as a single parallel plate capacitor in COMSOL Multiphysics, with good agreement between experimental and simulation data. As a proof-of-concept we simulated a MOS field effect transistor device with the nanocapacitor gate dielectric, whose drain current is sufficiently high for micro and nanoelectronics integrated circuits, including for applications in sensing. (AU)

Processo FAPESP: 18/22214-6 - Rumo à convergência de tecnologias: de sensores e biossensores à visualização de informação e aprendizado de máquina para análise de dados em diagnóstico clínico
Beneficiário:Osvaldo Novais de Oliveira Junior
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 23/08999-9 - Otimização orientada por aprendizado de máquina de biossensores magnetoplasmônicos
Beneficiário:William Orivaldo Faria Carvalho
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado