Matt Shipman, research communications lead, North Carolina State University
Improving supply chain management with heuristic algorithms
Research shows heuristic algorithmic tools serve almost as well as more computationally demanding optimization models for determining the best places to locate elements in a supply chain.
New tech solves longstanding challenges for self-healing materials
The latest technology resolves two longstanding challenges for self-healing materials and extend the lifespan of structural components.
Technology developed to reduce hydrogen fuel costs
Researchers have developed a technique for extracting hydrogen gas from liquid carriers which is faster, cheaper and more energy efficient.
Inclusivity is key to promoting STEM education
A North Carolina State University study finds that one key to promoting STEM education is making classrooms feel more inclusive.
3D-printable material designed to be tough, flexible
North Carolina State University researchers have created ionogel materials that are stretchable, tough and can be 3D-printed.
Synthesis process paves way for more efficient lasers, LEDs
North Carolina State University have developed a process that makes use of existing industry standard techniques for making III-nitride semiconductor materials, but results in layered materials that will make LEDs and lasers more efficient.
Model advances incorporating 3D printing into supply chains
Researchers from the U.S. Military Academy at West Point and North Carolina State University developed a model to help determine how to incorporate additive manufacturing (AM) technologies into spare part supply chains.
Technique for recycling nanowires developed
A technique for retrieving nanowires from electronic devices that have reached the end of their utility and then using those nanowires in new devices has been developed by North Carolina State University researchers.
Robots learning to grasp friction
A new law of physics that accounts for how robots grip objects, particularly web ones, has been discovered by North Carolina State University researchers.
Computational model developed for COVID-19 testing allocation
A computational model that can be used to identify the best allocation plans for distributing COVID-19 test kits to hospitals, clinics, and relevant state agencies has been developed by North Carolina State researchers.