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Our results suggest a method for fabricating transparent oxide electron conductors with large, tunable work functions that could be of relevance in designing electrodes for solid state energy conversion technologies.
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Solid electrolytes are important part of all-solid state energy systems that store electrical energy on the chip.
It might not even happen until a time when we're not even using batteries any longer, but rather some kind of solid-state energy storage device or an advanced hydrogen fuel cell.
Furthermore, the mechanics-based multiscale methodology employed herein could be applied to a number of other solid-state energy materials suffering from mechanical failures.
The micro-thermophotovoltaic (TPV) power generator is an important solid-state energy conversion system which utilizes high-temperature photons to generate electricity by the photovoltaics effect.
Nanostructures such as quantum wires and quantum wells provide alternative approaches to improve the solid-state energy conversion efficiency through size effects on the electron and phonon transport.
This work can offer a new option for developing solid-state energy storage devices for smart textile and wearable electronic applications.
Hydroxide (OH− ion -conducting polymer electrolytes are essention -conductingg cost effective, solid-state energy storage devices such as electrochemical capolymers (electrolytes
Solid-state energy conversion technologies such as thermoelectric and thermionic refrigeration and power generation require materials with low thermal conductivity but good electrical conductivity, which are difficult to realize in bulk semiconductors.
A solid oxide fuel cell (SOFC) is a promising all-solid-state energy conversion device that produces electricity by electrochemically combining a fuel with an oxidant across an oxide electrolyte.
His research group is focused on "anything that is small" for low-power post-CMOS transistor, spintronics, sensors, and solid-state energy harvesting applications from theoretical, experimental, and computational approaches using graphene, molecule, silicon, novel dielectrics, and carbon nanotube material systems.
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