Terahertz detection using mechanical resonators based on 2D materials

Juha Hassel; Mika Oksanen; Teemu Elo; Heikki Seppä; Pertti J. Hakonen

doi:10.1063/1.4990405

Terahertz detection using mechanical resonators based on 2D materials

Juha Hassel
, Mika Oksanen
, Teemu Elo
, Heikki Seppä
, Pertti J. Hakonen

Aalto University

Research output: Contribution to journal › Article › Scientific › peer-review

4 Citations (Scopus)

Abstract

We have investigated a THz detection scheme based on mixing of electrical signals in a voltage-dependent capacitance made out of suspended graphene. We have analyzed both coherent and incoherent detection regimes and compared their performance with the state of the art. Using a high-amplitude local oscillator, we anticipate potential for quantum limited detection in the coherent mode. The sensitivity stems from the extraordinary mechanical and electrical properties of atomically thin graphene or graphene-related 2D materials.

Original language	English
Article number	065014
Journal	AIP Advances
Volume	7
Issue number	6
DOIs	https://doi.org/10.1063/1.4990405
Publication status	Published - 1 Jun 2017
MoE publication type	A1 Journal article-refereed

Keywords

graphene
capacitance
quantum noise
terahertz detectors
antennas

Access to Document

10.1063/1.4990405Licence: CC BY

Cite this

@article{4641624d975544469d593421c4e95567,

title = "Terahertz detection using mechanical resonators based on 2D materials",

abstract = "We have investigated a THz detection scheme based on mixing of electrical signals in a voltage-dependent capacitance made out of suspended graphene. We have analyzed both coherent and incoherent detection regimes and compared their performance with the state of the art. Using a high-amplitude local oscillator, we anticipate potential for quantum limited detection in the coherent mode. The sensitivity stems from the extraordinary mechanical and electrical properties of atomically thin graphene or graphene-related 2D materials.",

keywords = "graphene, capacitance, quantum noise, terahertz detectors, antennas",

author = "Juha Hassel and Mika Oksanen and Teemu Elo and Heikki Sepp{\"a} and Hakonen, \{Pertti J.\}",

year = "2017",

month = jun,

day = "1",

doi = "10.1063/1.4990405",

language = "English",

volume = "7",

journal = "AIP Advances",

issn = "2158-3226",

publisher = "American Institute of Physics (AIP)",

number = "6",

}

TY - JOUR

T1 - Terahertz detection using mechanical resonators based on 2D materials

AU - Hassel, Juha

AU - Oksanen, Mika

AU - Elo, Teemu

AU - Seppä, Heikki

AU - Hakonen, Pertti J.

PY - 2017/6/1

Y1 - 2017/6/1

N2 - We have investigated a THz detection scheme based on mixing of electrical signals in a voltage-dependent capacitance made out of suspended graphene. We have analyzed both coherent and incoherent detection regimes and compared their performance with the state of the art. Using a high-amplitude local oscillator, we anticipate potential for quantum limited detection in the coherent mode. The sensitivity stems from the extraordinary mechanical and electrical properties of atomically thin graphene or graphene-related 2D materials.

AB - We have investigated a THz detection scheme based on mixing of electrical signals in a voltage-dependent capacitance made out of suspended graphene. We have analyzed both coherent and incoherent detection regimes and compared their performance with the state of the art. Using a high-amplitude local oscillator, we anticipate potential for quantum limited detection in the coherent mode. The sensitivity stems from the extraordinary mechanical and electrical properties of atomically thin graphene or graphene-related 2D materials.

KW - graphene

KW - capacitance

KW - quantum noise

KW - terahertz detectors

KW - antennas

UR - https://www.scopus.com/pages/publications/85021123247

U2 - 10.1063/1.4990405

DO - 10.1063/1.4990405

M3 - Article

SN - 2158-3226

VL - 7

JO - AIP Advances

JF - AIP Advances

IS - 6

M1 - 065014

ER -

Terahertz detection using mechanical resonators based on 2D materials

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this