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  • News - 19 Feb 2024
    The world's thinnest, strongest, and most flexible material, graphene, could be inhaled under carefully regulated conditions without having any negative short-term consequences on lung or...
  • News - 19 Feb 2024
    Researchers from Utrecht University, Harvard Department of Chemistry & Chemical Biology, and Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have reported on a previously...
  • News - 14 Feb 2024
    Phase two clinical trials at UT Southwestern Medical Center revealed that a suspension of gold nanocrystals taken daily by patients with multiple sclerosis (MS) and Parkinson’s disease (PD)...
  • News - 9 Feb 2024
    Empa researchers have recently demonstrated that some nanoplastics are made up of water-insoluble oligomers rather than plastic particles. The consequences they have on people and the environment are...
  • News - 8 Feb 2024
    For the past 20 years, researchers have been creating nanoparticles from DNA strands by modifying the connections that keep DNA in its double-helical form. This allows them to create self-assembling...
  • News - 8 Feb 2024
    A group of scientists have redefined the boundaries of light confinement and introduced an innovative type of polaritonic cavity, a major step forward for quantum nanophotonics. This...
  • News - 6 Feb 2024
    The fungus genus Ceratobasidium has been identified as the cause of cassava witches’ broom disease, thanks to a recent advance in DNA sequencing technology. Plant pathologists based in...
  • News - 6 Feb 2024
    Researchers have detected the third-order exceptional line (EL) in a nitrogen-vacancy (NV) spin system and have methodically investigated the relationships between symmetries and high-order...
  • News - 1 Feb 2024
    Researchers at ETH Zurich and Empa have created techniques to create emitters from perovskite quantum dots that are quicker and more effective, which will significantly boost their brightness, with...
  • News - 1 Feb 2024
    Researchers at Tohoku University and Shanghai Jiao Tong University have developed a machine learning method published in Nature Communications, enabling the prediction and control of carbon...

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