Researchers at the University of Virginia Cancer Center have identified a gene responsible for the spread of triple-negative breast cancer to other parts of the body - a process called metastasis - and developed a potential way to stop it, using nanoparticles paired with specially engineered antibodies that bind to the cancerous cells but not to healthy cells.
Press Releases: Research Funded by Agencies Participating in the National Nanotechnology Initiative
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.
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 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 from the University of Illinois at Chicago have described several fundamental processes associated with the motion of magnetic particles through fluids as they are pulled by a magnetic field. Understanding more about the motion of magnetic nanoparticles as they pass through a magnetic field has numerous applications, including drug delivery, biosensors, molecular imaging, and catalysis.
Researchers at Lawrence Livermore National Laboratory have created the largest defect-free membranes reported to date that fully exploit the unique mass transport properties of carbon nanotubes as flow channels. To reap the most benefits of these extraordinary materials, maximizing the density of open carbon nanotubes across the membrane is critical. There are 10 times more conductive nanotubes in these large-area membranes than previously achieved.
Researchers at Lawrence Berkeley National Laboratory have developed a method to fabricate a one-dimensional array of individual molecules and to precisely control its electronic structure. By carefully tuning the voltage applied to a chain of molecules embedded in a one-dimensional carbon (graphene) layer, they found they could control whether all, none, or some of the molecules carry an electric charge. This technique could lead to new designs for nanoscale electronic components including transistors and logic gates.
A team of Purdue University researchers has demonstrated light transport-assisted information processing by creating a pearl spectrometer. This discovery could lead to the design of disordered nanostructures of Anderson light localization to develop a new class of spectral information processing machine.