New analysis of 2D perovskites could shape the future of solar cells and LEDs
An innovative analysis of two-dimensional (2D) materials from engineers at the University of Surrey could boost the development of next-generation solar cells and LEDs.
An innovative analysis of two-dimensional (2D) materials from engineers at the University of Surrey could boost the development of next-generation solar cells and LEDs.
Triboelectric nanogenerators (TENGs) are an emerging technology that harvests the freely available mechanical energy from daily human activities.
A new hybrid X-ray detector developed by the University of Surrey outperforms commercial devices—and could lead to more accurate cancer therapy.
Rechargeable lithium-ion batteries (LIBs) are considered the best hope for next-generation battery technology, thanks to their long-life cycle, high specific power and energy density. However, they have not met the ever-increasing ...
Researchers from the University of Surrey have revealed their new biodegradable motion sensor—paving the way for implanted nanotechnology that could help future sports professionals better monitor their movements to aid ...
New research has heralded a promising step for sufferers of wheat sensitivity or allergy.
Researchers at the University of Surrey believe their tin based perovskite solar cell could clear the runway for solar panel technology to take off and help the UK reach its 2050 carbon neutral goal.
A few years ago, Omeed Badkoobeh was living in China and often traveling to remote locations when he noticed a trend that intrigued him—how often towns were relying on fuel-based generators for power
Detectors that are presently used for mammograms and for dose measurements in radiotherapy are often rigid, causing errors in screening, or dose delivery to surrounding healthy tissue. This has raised concerns of additional ...
In a new paper published by Nano Energy, experts from the Advanced Technology Institute (ATI) at the University of Surrey detail a new methodology that allows designers of smart-wearables to better understand and predict ...