Spin-coated Ge–In–Se thin films: characterization and changes induced by visible and electron radiation in relation to indium content

The Ge–In–Se thin films were prepared in high optical quality via spin-coating and their surface was patterned using electron beam lithography and optical holography.

Authors

Institutions

Publication Details

Journal
Materials Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ma00596e
Primary Topic
Phase-change materials and chalcogenides
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Spin-coated Ge–In–Se thin films: characterization and changes induced by visible and electron radiation in relation to indium content

Jiří Jančálek, Michal Kurka, Stanislav Šlang, Jiri Jemelka et al.
Materials Advances
Phase-change materials and chalcogenides
article

Spin-coated Ge–In–Se thin films: characterization and changes induced by visible and electron radiation in relation to indium content

Jiří Jančálek, Michal Kurka, Stanislav Šlang, Jiri Jemelka, Miroslav Vlček, Karel Pálka, Roman Svoboda, Ann H. Milam
article en

Abstract

The Ge–In–Se thin films were prepared in high optical quality via spin-coating and their surface was patterned using electron beam lithography and optical holography.

Materials AdvancesVol. 6(17)
University of Pardubice (CZ), Austin Peay State University (US)
National Science Foundation, Ministerstvo Školství, Mládeže a Tělovýchovy, Office of International Science and Engineering
Openalex Percentile: Top 86%
Phase-change materials and chalcogenides
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.