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An HZB physicist has developed a new method for the comprehensive characterization of semiconductors in a single measurement. The "Constant Light-Induced Magneto-Transport (CLIMAT)" is based on the Hall effect and allows ...
Researchers at the Pritzker School of Molecular Engineering and the Department of Chemistry at the University of Chicago have engineered tiny, spinning micro-robots that bind to immune cells to probe their function. The robot, ...
Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes.
Physicists at Paderborn University have used complex computer simulations to develop a new design for significantly more efficient solar cells than previously available. A thin layer of organic material, known as tetracene, ...
Researchers from the Department of Chemical Engineering at the Vrije Universiteit Brussel, Riga Technical University and the MESA+ Institute at the University of Twente have succeeded in arranging very small particles (10 ...
Researchers from Oxford University's Department of Physics have made a breakthrough in creating and designing magnetic whirls in membranes that can be seamlessly integrated with silicon. These hurricane-like magnetic whirls, ...
Quantum computing engineers at UNSW Sydney have shown they can encode quantum information—the special data in a quantum computer—in four unique ways within a single atom, inside a silicon chip.
In the pursuit of sustainable energy solutions, the quest for more efficient solar cells is paramount. Organic photovoltaic cells have emerged as a promising alternative to traditional silicon-based counterparts due to their ...
Researchers at the Hong Kong University of Science and Technology (HKUST) have developed a new integration technique for efficient integration of III-V compound semiconductor devices and silicon, paving the way for photonic ...
University of Pennsylvania engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing ...
