Skip to content
A4 civilengineering
  • Home
  • About Us
  • Education
  • Community
  • Thought
  • Ongoing Happenings
  • Contact Us
Menu Close

Blog

  1. Home>
  2. Smart Materials>
  3. New light-controlled nanoprinting for new meta-surfaces
New light-controlled nanoprinting for new meta-surfaces – College of Engineering News
Jaeyoun Kim, professor of electrical and computer engineering, and In-Ho Cho, associate professor of civil, construction and environmental engineering, have received a new $525,000 award from the National Science Foundation to develop single-step, rapidly reconfigurable grayscale nanoprinting by light-controlled nanocapillary effect.

Kim and Cho’s research explores using light to control certain polymers’ height of capillary rise, and, in turn, enabling ultrahigh-resolution grayscale nanoprinting.

The collected data will also allow them to train machine-learning models to seek the optimal design of meta-surfaces and their manufacturing. Meta-surfaces are arrays of individual nanoscale elements. Meta-surfaces can be used for novel applications like generating color without using dyes, killing germs without harmful chemicals, and creating a hydrophobic shield for solar panels and window panes.

Kim and Cho will integrate nanomanufacturing technology, data science and machine learning, not only to enrich nanomanufacturing, but also to advance fundamental nanotechnology and computational sciences through interdisciplinary endeavors.

The team’s work pushes nanoprinting and meta-surfaces to the next step of broader use, including making the relevant science and technology more attractive to the public and more accessible to women and other underrepresented groups in STEM.

FacebookTwitterLinkedInRedditEmail
Read More
news.engineering.iastate.edu

Read more articles

Previous PostAssessing the Health of Buildings
Next PostHammerbrooklyn. Digital Pavillon Becomes First to Receive Platinum Smart Building Certification in Germany

You Might Also Like

Smart material-sensing platform for laser cutters can differentiate between 30 different materials

Smart material-sensing platform for laser cutters can differentiate between 30 different materials

August 30, 2021
More-sustainable concrete with machine learning

More-sustainable concrete with machine learning

January 6, 2022
NYC Passes Biometric Data Protection Laws Aimed At Businesses, Smart Access Building Owners

NYC Passes Biometric Data Protection Laws Aimed At Businesses, Smart Access Building Owners

September 11, 2021

Archives

  • October 2025
  • September 2025
  • August 2025
  • July 2025
  • June 2025
  • May 2025
  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021

Categories

  • 3D Printing
  • Air Quality
  • Architecture
  • Automation
  • BIM
  • Civil Software
  • Computer Vision
  • Constrcution Site
  • Digital Twin
  • Disaster
  • Earthquake
  • Edu Resource
  • Environmental
  • FreeCourse
  • Geotechnical Engineering
  • GIS
  • Industry News
  • Intelligent Transportation System
  • IOT
  • Market Analysis
  • Project Management
  • Remote Sensing
  • Sensors
  • Smart City
  • Smart Home
  • Smart Home/Building
  • Smart Materials
  • Structural Engineering
  • Structural Health Monitoring
  • Transportation
  • Uncategorized
  • Urban Planning

Recent Posts

  • Seattle DJC.com local business news and data – Architecture & Engineering
  • 1 Introduction
  • How AI is redefining a cyber engineer’s day
  • Hong Kong develops AI-driven landslip warning system with more than 90% accuracy
  • Nationwide Backlash Brewing Against Big Tech’s Energy-Devouring AI Data Centers
A4 civilengineering
©2021 Privacy policy
  • Home
  • About Us
  • Education
  • Community
  • Thought
  • Ongoing Happenings
  • Contact Us

Enjoying the contents?

Subscribe to our weekly newsletter