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Transparent solar cells will transform the look of infrastructure by enabling many more surfaces to become solar panels. Now, materials called non-fullerene acceptors that can intrinsically generate charges when exposed to ...
Molecular computer components could represent a new IT revolution and help us create cheaper, faster, smaller, and more powerful computers. Yet researchers struggle to find ways to assemble them more reliably and efficiently.
Did you know that 99% of synthetic diamonds are currently produced using high-pressure and high-temperature (HPHT) methods? A prevailing paradigm is that diamonds can only be grown using liquid metal catalysts in the "gigapascal ...
Unlike electrons, particles of light are uncharged, so they do not respond to magnetic fields. Despite this, researchers have now experimentally made light effectively "feel" a magnetic field within a complicated structure ...
AMOLF researchers, in collaboration with Delft University of Technology, have succeeded in bringing light waves to a halt by deforming the two-dimensional photonic crystal that contains them. The researchers show that even ...
It has been known for centuries that light exhibits wave-like behavior in certain situations. Some materials are able to rotate the polarization, i.e. the direction of oscillation, of the light wave when the light passes ...
Responding to the increasing demand for efficient, tunable optical materials capable of precise light modulation to create greater bandwidth in communication networks and advanced optical systems, a team of researchers at ...
Scientists have created conducting two-dimensional polymers exhibiting electron mobility comparable to graphene. Their research has been featured in the online edition of Chem.
EPFL researchers have developed the first comprehensive model of the quantum-mechanical effects behind photoluminescence in thin gold films; a discovery that could drive the development of solar fuels and batteries.
Scientists are normally happy to find regularities and correlations in their data—but only if they can explain them. Otherwise, they worry that those patterns might just be revealing some flaw in the data itself, so-called ...
