Researchers from the labs of Professors Vinayak Dravid and Omar Farha developed a high-resolution approach to map ...
Developing the lithium-ion battery took decades of research. A new multi-institutional project led by the Department of ...
In this article, we hear from three academic researchers about how their work using NMR spectroscopy at a reduced magnetic field is improving paramagnetic and metallic materials analysis and providing ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
When last we saw [xoreaxeax], he had built a lens-less optical microscope that deduced the structure of a sample by recording ...
The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...