news
- Presenting his findings from “Pixelated Polymers: Programming Function into Liquid Crystalline Polymer Networks and Elastomers,” Gallogy Professor Tim White spoke before the researchers and scientists gathered for the International Soft Matter Conference held in Edinburgh, Scotland, in June.
- Researchers at Ҵýƽ have developed a new technique that can study friction between soft materials like those inside the body, paving the way for improvements to medical devices used by millions each year.
- IRT member Wil Srubar’s lab was recently profiled.
- A groundbreaking research effort involving scientists at NREL and other partner institutions around the country recently published “A Map of the Inorganic Ternary Metal Nitrides,” which appears in Nature Materials.
- Project TORUS–or Targeted Observation by Radars and UAS of Supercells–is a two-year partnership including several IRT members.
- The researchers, led by engineer Mark Rentschler, are using a robot that can navigate the squishy and often-unpredictable terrain of the intestine.
- Wil Srubar is an assistant professor of civil, environmental and architectural engineering here at C.U. Guided by the tenets of industrial ecology, his team's collective vision is to engineer next-generation infrastructure materials by blurring the boundaries between the built environment and the natural world. Materials of current interest include biodegradable polymers, phase-change materials, recycled aggregate concrete, and natural-fiber composites for green building applications.
- The ZEISS Xradia 520 Versa is an X-ray microtomography imaging system — essentially an X-ray microscope, according to Wil Srubar, an assistant professor who was part of the team that won a grant to buy the machine.
- Research being led by Ҵýƽ Assistant Professor Orit Peleg is studying social systems in sunflowers through an award from the Human Frontier Science Program.
- Wil Srubar’s lab at Ҵýƽ is leading a $1.9 million DARPA project titled Programmable Resurrection of Materials Engineered to Heal Exponentially Using Switches.