October 2019

Oct 24, 2019

Research Triangle Nanotechnology Network

NC State, Duke and UNC-Chapel Hill may be fierce rivals on the basketball court, but the three universities are partners in an effort to enable innovative nanoscience and nanotechnology research, discovery, workforce development and education. 

Oct 24, 2019

Brewing up a sustainable cup

A student team develops a coffee filtration system that processes wastewater into clean water and fertilizer and is recognized in a global engineering competition. 

Oct 24, 2019

Fog alert

Researchers in the Department of Civil, Construction, and Environmental Engineering are leading research on the impact of fats, oils and grease. 

Oct 24, 2019

Research as recruitment

Summer research experiences held on campus help strengthen student skills. They also serve as a way for faculty members to recruit top graduate students. 

Oct 24, 2019

Summer gaming program helps campers realize their potential

Lead counselor Nasir Jones stands at the front of the class, guiding the campers through coding exercises that are part of SNAP, a visual programming language. Three other counselors move among them answering questions. The 12 campers are participating in the Bridge to Computing summer camp program for underserved 12- to 15-year-old boys held in the Department of Computer Science (CSC) at NC State. 

Oct 24, 2019

Research overcomes key obstacles to scaling up DNA data storage

NC State researchers have developed new techniques for labeling and retrieving data files in DNA-based information storage systems, addressing two of the key obstacles to widespread adoption of DNA data storage technologies. 

Oct 24, 2019

Ultrasound aligns living cells in bioprinted tissues

COE researchers have developed a technique to improve the characteristics of engineered tissues by using ultrasound to align living cells during the biofabrication process. 

Oct 24, 2019

New framework improves performance of deep neural networks

Researchers in the Department of Electrical and Computer Engineering (ECE) have developed a new framework for building deep neural networks via grammar-guided network generators. In experimental testing, the new networks — called AOGNets — have outperformed existing state-of-the-art frameworks, including the widely used ResNet and DenseNet systems, in visual recognition tasks. 

Oct 24, 2019

New tool tackles uncertainty in military logistics planning

Military deployments to austere environments — whether humanitarian missions or combat operations — involve extensive logistical planning, which is often complicated by unforeseen events. New research has created a model to help military leaders better account for logistical risk and uncertainty during operational planning and execution.