• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. L
  4. Lix…
  5. LI Xiaowei
🔗 Permalink
Inventor profile of:

Xiaowei LI

City:

Austin, Texas

Country:

United States

Published Applications:

4

Last publication date:

2017-12-21

Top Assignees for applications by Xiaowei LI

The entities that hold a legal rights for patent applications filed by inventor LI Xiaowei:

  • Applied Materials, Inc. 4 Santa Clara, CA United States

Recent patent applications by LI Xiaowei

Xiaowei LI from Austin, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2017-12-21
US20170362702A9
Chemistry; metallurgy

INDEPENDENT RADIANT GAS PREHEATING FOR PRECURSOR DISASSOCIATION CONTROL AND GAS REACTION KINETICS IN LOW TEMPERATURE CVD SYSTEMS

#2 | 2014-06-26
US20140175054A1
Chemistry; metallurgy

INDEPENDENT RADIANT GAS PREHEATING FOR PRECURSOR DISASSOCIATION CONTROL AND GAS REACTION KINETICS IN LOW TEMPERATURE CVD SYSTEMS

#3 | 2011-10-27
US20110259432A1
Chemistry; metallurgy

Independent radiant gas preheating for precursor disassociation control and gas reaction kinetics in low temperature CVD systems

#4 | 2008-09-04
US20080210163A1
Chemistry; metallurgy

Independent radiant gas preheating for precursor disassociation control and gas reaction kinetics in low temperature CVD systems

InventorID:

811182 ⎘

  1. Home
  2. Inventor
  3. L
  4. Lix…
  5. LI Xiaowei

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.