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

AMEL LAREF

City:

RIYADH

Country:

Saudi Arabia

Published Applications:

6

Last publication date:

2017-11-16

Top Assignees for applications by AMEL LAREF

The entities that hold a legal rights for patent applications filed by inventor LAREF AMEL:

  • KING SAUD UNIVERSITY 6 Riyadh, Saudi Arabia

Recent patent applications by LAREF AMEL

AMEL LAREF from RIYADH, SA has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2017-11-16
US20170327382A1
Chemistry; metallurgy

Green synthesis of reduced graphene oxide using seed extract

#2 | 2017-11-16
US20170327381A1
Chemistry; metallurgy

Green synthesis of reduced graphene oxide using seed extract

#3 | 2017-11-16
US20170327380A1
Chemistry; metallurgy

Green synthesis of reduced graphene oxide using seed extract

#4 | 2017-11-16
US20170326097A1
Human necessities

Green synthesis of reduced graphene oxide silica nanocomposite using seeds extract

#5 | 2017-11-14
US15442606
Chemistry; metallurgy

Synthesis of reduced graphene oxide nanoparticles

#6 | 2017-06-27
US15151466
Chemistry; metallurgy

Green synthesis of reduced graphene oxide using seed extract

InventorID:

2036682 ⎘

  1. Home
  2. Inventor
  3. L
  4. Lar…
  5. LAREF AMEL

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.