Self-Assembled Refractory Metal Helices for Millimeter-Through-THz Vacuum Electronic Devices

We describe the fabrication of refractory metal helices via a dry process that relies on interface delamination and self-assembly of nanomembranes. The demonstrated method is potentially applicable to fabricating slow-wave structures for millimeter-though-THz traveling-wave tubes.

Authors

Institutions

Publication Details

Published
2025-04-14
DOI
https://doi.org/10.1109/ivec63678.2025.11115650
Primary Topic
Gyrotron and Vacuum Electronics Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-Assembled Refractory Metal Helices for Millimeter-Through-THz Vacuum Electronic Devices

A. K. M. Sharoar Jahan Choyon, Ruhin Chowdhury, Daniel van der Weide, D. Prakash et al.
Gyrotron and Vacuum Electronics Research
article

Self-Assembled Refractory Metal Helices for Millimeter-Through-THz Vacuum Electronic Devices

A. K. M. Sharoar Jahan Choyon, Ruhin Chowdhury, Daniel van der Weide, D. Prakash, Francesca Cavallo, Tingyou Guo
article en

Abstract

We describe the fabrication of refractory metal helices via a dry process that relies on interface delamination and self-assembly of nanomembranes. The demonstrated method is potentially applicable to fabricating slow-wave structures for millimeter-though-THz traveling-wave tubes.

University of Wisconsin–Madison (US), University of New Mexico (US)
U.S. Department of Energy
Affordable and clean energy
Openalex Percentile: Top 84%
Gyrotron and Vacuum Electronics Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.