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Scientists at Duke University have devised a simplified method for calculating the forces that cause nanoparticles to self-assemble. The new method offers opportunities for rationally designing such particles for a wide range of applications, from harnessing solar energy to driving catalytic reactions.
Scientists at Duke University have devised a simplified method for calculating the forces that cause nanoparticles to self-assemble. The new method offers opportunities for rationally designing such particles for a wide range of applications, from harnessing solar energy to driving catalytic reactions.
Scientists at Argonne National Laboratory have discovered how applying artificial intelligence can lead to better performance and an easier process for creating nanomaterials with flame spray pyrolysis. Flame spray pyrolysis is a technology that enables the manufacturing of nanomaterials in high volumes, which, in turn, is critical to producing a wide range of industrial materials, such as chemical catalysts, battery electrolytes/cathodes and pigments.
Scientists at Argonne National Laboratory have discovered how applying artificial intelligence can lead to better performance and an easier process for creating nanomaterials with flame spray pyrolysis. Flame spray pyrolysis is a technology that enables the manufacturing of nanomaterials in high volumes, which, in turn, is critical to producing a wide range of industrial materials, such as chemical catalysts, battery electrolytes/cathodes and pigments.
Researchers from Northwestern University and Argonne National Laboratory have uncovered new findings into the role of ionic interactions within graphene and water. The insights could inform the design of new energy-efficient electrodes for batteries or provide the backbone ionic materials for neuromorphic computing applications.
Researchers from Northwestern University and Argonne National Laboratory have uncovered new findings into the role of ionic interactions within graphene and water. The insights could inform the design of new energy-efficient electrodes for batteries or provide the backbone ionic materials for neuromorphic computing applications.
Researchers at the University of Texas at Austin have created an approach using a nanosensor to speed up detection of trace amounts of biomarkers for early-disease diagnosis, while retaining high levels of sensitivity. The approach increases the speed of a test by four times compared to common sensing techniques. The key to that innovation comes through motorizing the sensor.
Researchers at the University of Texas at Austin have created an approach using a nanosensor to speed up detection of trace amounts of biomarkers for early-disease diagnosis, while retaining high levels of sensitivity. The approach increases the speed of a test by four times compared to common sensing techniques. The key to that innovation comes through motorizing the sensor.
Researchers at Penn State have designed an acoustic equivalent of magic-angle bilayer graphene. They found that as waves propagated between the plates at certain twist angles, acoustic energy concentrated around specific areas of the Moiré pattern where holes on the top and bottom layers aligned. This behavior mirrors the behavior of electrons in magic-angle graphene at the atomic scale. These similarities can help researchers theoretically explore further applications of conventional magic-angle graphene without the restrictions that come with experimenting on it.
Researchers at Penn State have designed an acoustic equivalent of magic-angle bilayer graphene. They found that as waves propagated between the plates at certain twist angles, acoustic energy concentrated around specific areas of the Moiré pattern where holes on the top and bottom layers aligned. This behavior mirrors the behavior of electrons in magic-angle graphene at the atomic scale. These similarities can help researchers theoretically explore further applications of conventional magic-angle graphene without the restrictions that come with experimenting on it.
