News
January 26, 2021 | Duke Engineering
Listening to Lightning in the Duke Forest
ECE professor Steve Cummer's field of antennas relays information about when and where lightning strikes
January 06, 2021 | Duke Engineering
Cybersecurity for Autonomous Systems
Miroslav Pajic works on 'assured autonomy' for systems with high-level autonomy and low human control and oversight
January 05, 2021 | Duke Engineering
Payne Named Fellow of the Royal Society of Chemistry
MEMS Associate Professor Christine Payne recognized for outstanding contributions to chemistry with research on interaction between materials and cells
December 18, 2020 | Duke Engineering
Sound Waves Spin Droplets to Concentrate, Separate Nanoparticles
New centrifuge-like device concentrates and separates biomedically important nanoparticles in tiny samples in less than a minute
December 17, 2020 | Duke Engineering
Developing Low-Cost Scanning Laser Ophthalmoscopes to Combat Diabetic Retinopathy
Hafeez Dhalla is using materials science and 3D printing to develop a new instrument for eye imaging that can combat a common cause of adult-onset blindness
December 15, 2020
Using Quantum Rules to Move Chemistry into Uncharted Territory
Center for Synthesizing Quantum Coherence uses ultra-fast lasers to design and control chemical reactions
December 04, 2020 | Duke Engineering
Advancing Deep Tissue Imaging through Photonic Highways
A collaborative team of researchers from Duke BME and the Albert Einstein College of Medicine were among 13 teams to receive funding for novel imaging projects
September 01, 2020 | Duke Engineering
Duke Joins $115 Million Quantum Systems Accelerator
Five-year project seeks to energize the nation’s research community to ensure U.S. leadership in quantum R and accelerate the transfer of quantum technologies
August 27, 2020 | Duke Engineering
Scientists Pair 3D Bioprinting and Computer Modeling to Examine Cancer Spread in Blood Vessels
Advanced computer simulations help better understand how tumor cells attach to blood vessels to form new tumors
August 03, 2020 | Duke Engineering
AI May Offer a Better Way to ID Drug-Resistant Superbugs
Machine learning algorithm uses high-temporal-resolution growth curves to identify pathogens with 98% accuracy and predict antibiotic resistance