The organic-inorganic hybrid perovskites (OIHPs) have a multiple application on solar cells, lighting-emitting diodes (LEDs), field effect transistors (FETs) and photodetectors. Among the parameters valuing the power conversion ...
Analytical Chemistry
Nov 23, 2020
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4
A novel technology that can improve the efficiency of quantum dot solar cells to 11.53% has been unveiled. Published in the February 2020 issue of Advanced Energy Materials, it has been evaluated as a study that solved the ...
Nanomaterials
Nov 20, 2020
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10
Scientists at Swansea University have developed a very sensitive method to detect the tiny signatures of so called 'charge traps' in organic semiconductors.
Condensed Matter
Nov 4, 2020
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132
Insight into energy losses that affect the conversion of light into electricity could help enhance organic solar cell efficiencies. A KAUST-led team of organic chemists, materials engineers, spectroscopists and theoretical ...
Materials Science
Oct 26, 2020
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66
Perovskites are a class of materials made up of organic materials bound to a metal. Their fascinating structure and properties have propelled perovskites into the forefront of materials' research, where they are studied for ...
Materials Science
Oct 1, 2020
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113
For the first time, researchers from Missouri S&T have shown that highly ordered copper thin films can be crystallized directly on a one-molecule-thick layer of organic material rather than on the inorganic substrates that ...
Materials Science
Sep 30, 2020
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269
In the last couple of years, organic solar cells (OSCs) based on non-fullerene (NF) acceptors have demonstrated tremendous progress in power conversion efficiency (PCE). The majority of state-of-the-art OSCs in the lab is ...
Materials Science
Aug 27, 2020
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2
Solar cells can now be made so thin, light and flexible that they can rest on a soap bubble. The new cells, which efficiently capture energy from light, could offer an alternative way to power novel electronic devices, such ...
Materials Science
Aug 27, 2020
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255
Organic solar cells are ideal for use in flexible electronics because of the inherently malleable nature of semiconducting polymers. Recent research on the interplay between processing, thermodynamics and mechanical stability ...
Materials Science
Aug 12, 2020
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122
A machine-learning algorithm that can predict the compositions of trend-defying new materials has been developed by RIKEN chemists1. It will be useful for finding materials for applications where there is a trade-off between ...
Materials Science
Aug 7, 2020
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319
