News from the NNI Community - Research Advances Funded by Agencies Participating in the NNI

Date Published
(Funded by the National Science Foundation and the U.S. Department of Defense)

Researchers from The University of Texas at Austin; the University of California, Riverside; and the University of Colorado Boulder have created a new class of materials that can absorb low-energy light and transform it into higher-energy light. The new material is composed of ultra-small silicon nanoparticles and organic molecules closely related to those used in organic light-emitting diode (OLED) televisions. This new composite efficiently moves electrons between its organic and inorganic components, with potential applications for more efficient solar panels, more accurate medical imaging, and better night vision goggles.

(Funded by the National Science Foundation)

Researchers from the Nanoscience Initiative at the Advanced Science Research Center at the City University of New York; the University of Pennsylvania; and the University of California, Merced have taken a unique approach that advances the opportunity to use mechanochemistry in large-scale production. Mechanochemistry uses organic chemistry and nanotechnology to push molecules together and create chemicals without the use of costly solvents that pollute the environment. The researchers measured the amount of force needed to create a predictable and reliable chemical reaction and showed that mechanochemistry is a viable and scalable technique for manufacturing chemicals in a more sustainable, cost-efficient manner. 

(Funded by the U.S. Department of Energy)

Scientists at the U.S. Department of Energy's Oak Ridge National Laboratory have invented a coating that could dramatically reduce friction in common load-bearing systems with moving parts, from vehicle drivetrains to wind and hydroelectric turbines. The coating is composed of carbon nanotubes that confer superlubricity to sliding parts. Superlubricity is the property of showing virtually no resistance to sliding; its hallmark is a coefficient of friction less than 0.01. In comparison, when dry metals slide past each other, the coefficient of friction is around 0.5.

(Funded in part by the National Institutes of Health)

Researchers from The Ohio State University and Nationwide Children's Hospital in Columbus, OH,  have shown that therapeutic nanocarriers engineered from adult skin cells can curb inflammation and tissue injury in damaged mouse lungs, hinting at the promise of a treatment for lungs severely injured by infection or trauma. The nanocarriers are extracellular vesicles similar to the ones circulating in humans' bloodstream and biological fluids that carry messages between cells. The hope is that a drop of solution containing these nanocarriers, delivered to the lungs via the nose, could treat acute respiratory distress syndrome, one of the most frequent causes of respiratory failure that leads to putting patients on a ventilator.

(Funded in part by the National Institutes of Health)

Researchers from Northwestern University Feinberg School of Medicine and Columbia University have developed a novel nanoparticle treatment for glioblastoma. Previous Northwestern Medicine research has shown that glioblastoma tumors accumulate large numbers of immunosuppressive tumor-associated myeloid cells (TAMCs), which impairs the immune system's ability to fight the tumor and reduces the effectiveness of radiation and chemotherapy. The nanoparticle was loaded with antibodies targeting two immune checkpoint proteins that are overexpressed in glioblastoma tumors and TAMCs after radiotherapy. When mice with glioblastoma were treated with nanoparticles, scientists observed a spike in the number of activated T-cells, which are usually responsible for mounting an immune response against a tumor.

(Funded in part by the National Institutes of Health)

Researchers from Northwestern University Feinberg School of Medicine and Columbia University have developed a novel nanoparticle treatment for glioblastoma. Previous Northwestern Medicine research has shown that glioblastoma tumors accumulate large numbers of immunosuppressive tumor-associated myeloid cells (TAMCs), which impairs the immune system's ability to fight the tumor and reduces the effectiveness of radiation and chemotherapy. The nanoparticle was loaded with antibodies targeting two immune checkpoint proteins that are overexpressed in glioblastoma tumors and TAMCs after radiotherapy. When mice with glioblastoma were treated with nanoparticles, scientists observed a spike in the number of activated T-cells, which are usually responsible for mounting an immune response against a tumor.

(Funded by the National Institutes of Health and the U.S. Department of Energy)

By using the National Synchrotron Light Source II at the U.S. Department of Energy’s Brookhaven National Laboratory (BNL), researchers from Duke University, Princeton University, and BNL have shown that the amount of selenium and arsenic that can escape from coal ash depends largely on their nanoscale structures. BNL's capabilities were able to provide the researchers a nanoscale map of each fly ash particle, along with the distribution of elements in each particle. The incredible resolution revealed that individual nanoparticles of selenium were attached to bigger particles of coal ash, but most of the ash had arsenic and selenium either locked inside individual grains or attached at the surface, with relatively weak ionic bonds.

(Funded by the U.S. Department of Defense and the National Science Foundation)

Researchers at the University of Michigan have developed a computer model that can identify whether and how nanoparticles and proteins bind with one another – an important step toward being able to design antibiotics and antivirals on demand. The new model uses machine learning—the AI technique that powers the virtual assistant on your smartphone and ChatGPT. But instead of learning to process language, it learns to extrapolate how proteins and nanoparticles might interact, predict binding sites and the likelihood of binding between them. 

(Funded by the U.S. Department of Defense and the National Science Foundation)

Researchers at the University of Michigan have developed a computer model that can identify whether and how nanoparticles and proteins bind with one another – an important step toward being able to design antibiotics and antivirals on demand. The new model uses machine learning—the AI technique that powers the virtual assistant on your smartphone and ChatGPT. But instead of learning to process language, it learns to extrapolate how proteins and nanoparticles might interact, predict binding sites and the likelihood of binding between them. 

(Funded in part by the U.S. Department of Defense, the U.S. Department of Energy and the National Science Foundation)

Researchers from Columbia University and the U.S. Department of Energy’s Lawrence Berkeley National Laboratory, Ludwig-Maximilians Universität München (Munich, Germany), the Korea Basic Science Institute (Cheongju, South Korea), the Korea Research Institute of Chemical Technology (Daejeon, South Korea), and Ulsan National Institute of Science and Technology (Ulsan, South Korea) have discovered the first fully photostable and photoswitchable nanoparticle. Using near-infrared light, the researchers darkened and brightened these nanoparticles over a thousand times in different ambient and aqueous environments with no signs of degradation. Also, the team demonstrated how the nanoparticles can be used to write – and rewrite – patterns onto 3D substrates, which could one day improve high-density optical data storage and computer memory.