Characterization of an active metasurface using terahertz ellipsometry
Creators
- 1. Brown University, Providence, RI (United States). School of Engineering
- 2. UniversityS. Army AMRDEC, Redstone Arsenal, Huntsville, AL (United States)
- 3. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States). Center for Integrated Nanotechnologies (CINT)
- 4. Los Alamos National Laboratory (LANL), Center for Integrated Nanotechnologies (CINT), Los Alamos, NM (United States)
Description
Switchable metasurfaces fabricated on a doped epi-layer have become an important platform for developing techniques to control terahertz (THz) radiation, as a DC bias can modulate the transmission characteristics of the metasurface. To model and understand this performance in new device configurations accurately, a quantitative understanding of the bias-dependent surface characteristics is required. In this work, we perform THz variable angle spectroscopic ellipsometry on a switchable metasurface as a function of DC bias. By comparing these data with numerical simulations, we extract a model for the response of the metasurface at any bias value. Using this model, we predict a giant bias-induced phase modulation in a guided wave configuration. Lastly, these predictions are in qualitative agreement with our measurements, offering a route to efficient modulation of THz signals.
Availability note (English)
Available from https://www.osti.gov/pages/servlets/purl/1426809; https://www.osti.gov/pages/biblio/1426809; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo periodAdditional details
Identifiers
Publishing Information
- Journal Title
- Applied Physics Letters
- Journal Volume
- 111
- Journal Issue
- 19
- Journal Page Range
- vp.
- ISSN
- 0003-6951
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 50031416
- Subject category
- S42: ENGINEERING; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S36: MATERIALS SCIENCE;
- Descriptors DEI
- COMPUTERIZED SIMULATION; DOPED MATERIALS; ELLIPSOMETRY; EQUIPMENT; MODULATION
- Descriptors DEC
- MATERIALS; MEASURING METHODS; SIMULATION
Optional Information
- Contract/Grant/Project number
- AC04-94AL85000; NA0003525; AC52-06NA25396
- Funding organization
- USDOE Office of Science - SC, Basic Energy Sciences (BES) (SC-22) (United States); USDOE National Nuclear Security Administration (NNSA) (United States)
- Secondary number(s)
- SAND--2018-2215J; OSTIID--1426809