• Registration Log In
  • For Libraries
  • For Publication
  • Open Access
  • Downloads
  • About Us
  • Contact Us
For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Preface
Past, Present, and Future of Semiconductor Cleaning Technology
p.3
Nanosheet-Based Transistor Architectures for Advanced CMOS Scaling: Wet Etch and Gas Phase Etch Challenges in Confined Spaces
p.8
On Gas-Phase Selective Dry Etching in 3D Inflections
p.14
SiGe Selective Etching to Enable Bottom and Middle Dielectric Isolations for Advanced Gate-All-Around FET Architecture
p.23
Selectivity Tuning by Peroxide Concentration for the Selective Etching of SiGe20 to Si and SiGe40 to SiGe20
p.29
Investigation of Selective Wet Etching of SiGe Substrates for High-Performance Device Manufacturing
p.34
Highly Selective Etching of SiGe to Si for GAAFET
p.40
Atomic Level Chemical and Structural Properties of Silicon Surface and Initial Stages of Oxidation
p.49
HomeSolid State PhenomenaSolid State Phenomena Vol. 346Preface

Preface

Article Preview
Article Preview
Article Preview

Abstract:

By email View Pdf
You might also be interested in these eBooks
Ultra Clean Processing of Semiconductor Surfaces XVI View Preview

Info:

Periodical:

Solid State Phenomena (Volume 346)

Online since:

August 2023

Сopyright:

© 2023 Trans Tech Publications Ltd. All Rights Reserved

Share:

Related Articles
Citation
Add To Cart

Paper price:

After payment, you will receive an email with instructions and a link to download the purchased paper.

You may also check the possible access via personal account by logging in or/and check access through your institution.

Back
Add To Cart

This paper has been added to your cart

Back To Cart
  • For Libraries
  • For Publication
  • Insights
  • Downloads
  • About Us
  • Policy & Ethics
  • Contact Us
  • Imprint
  • Privacy Policy
  • Sitemap
  • All Conferences
  • All Special Issues
  • All News
  • Open Access Partners

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.