An official website of the United States government.
Scientists at Rice University have modified their method for making flash graphene to enhance it for recycling plastic into graphene. Instead of raising the temperature of a carbon source with direct current (DC), as in the original process, they first expose plastic waste to around eight seconds of high-intensity alternating current, followed by the DC jolt.
Scientists at Rice University have modified their method for making flash graphene to enhance it for recycling plastic into graphene. Instead of raising the temperature of a carbon source with direct current (DC), as in the original process, they first expose plastic waste to around eight seconds of high-intensity alternating current, followed by the DC jolt.
Researchers at Los Alamos National Laboratory and the University of California, Irvine have created fundamental electronic building blocks out of quantum dots and used them to assemble functional logic circuits. The innovation promises a cheaper and manufacturing-friendly approach to complex electronic devices that can be fabricated in a chemistry laboratory via simple, solution-based techniques, and offer long-sought components for a host of innovative devices.
Researchers at Los Alamos National Laboratory and the University of California, Irvine have created fundamental electronic building blocks out of quantum dots and used them to assemble functional logic circuits. The innovation promises a cheaper and manufacturing-friendly approach to complex electronic devices that can be fabricated in a chemistry laboratory via simple, solution-based techniques, and offer long-sought components for a host of innovative devices.
A team of engineers at Penn State are attempting to pioneer a type of computing that mimics the efficiency of the brain's neural networks while exploiting the brain's analog nature. Like synapses connecting the neurons in the brain that can be reconfigured, the artificial neural networks the team is building can be reconfigured by applying a brief electric field to a sheet of graphene, the one-atomic-thick layer of carbon atoms.
A team of engineers at Penn State are attempting to pioneer a type of computing that mimics the efficiency of the brain's neural networks while exploiting the brain's analog nature. Like synapses connecting the neurons in the brain that can be reconfigured, the artificial neural networks the team is building can be reconfigured by applying a brief electric field to a sheet of graphene, the one-atomic-thick layer of carbon atoms.
Researchers at Michigan State University are testing a liquid nanofoam liner, a material full of tiny nanopores, that could prolong the safe use of football helmets. When a helmet withstands an impact severe enough to cause a concussion to the player wearing it, the safety features of the helmet are compromised, rendering equipment unsafe for further use.
Researchers at Michigan State University are testing a liquid nanofoam liner, a material full of tiny nanopores, that could prolong the safe use of football helmets. When a helmet withstands an impact severe enough to cause a concussion to the player wearing it, the safety features of the helmet are compromised, rendering equipment unsafe for further use.
Scientists at Ames Laboratory have discovered and confirmed a method which could serve as an easy but reliable way to test the quality of graphene and other 2D materials. It takes advantage of the very broad background in surface electron diffraction, named the Bell-Shaped-Component (BSC) which strongly correlates to uniformly patterned, or "perfect" graphene. Understanding the correlation has implications for reliable quality control of 2D materials in a manufacturing environment.
Scientists at Ames Laboratory have discovered and confirmed a method which could serve as an easy but reliable way to test the quality of graphene and other 2D materials. It takes advantage of the very broad background in surface electron diffraction, named the Bell-Shaped-Component (BSC) which strongly correlates to uniformly patterned, or "perfect" graphene. Understanding the correlation has implications for reliable quality control of 2D materials in a manufacturing environment.
