Algae-based building material, carbon-carbon bonds more flexible than presumed, and other materials stories that may be of interest for October 7, 2020.
Read MoreCommon lithographic techniques used to etch patterns onto a surface run into difficulties when cutting 2D materials. Researchers at École Polytechnique Fédérale de Lausanne developed a thermal scanning probe lithography method that can cut the smallest reported feature for a direct cutting method to date.
Read MoreAcciona initiates Malgarida solar PV works in Chile, EnPro to acquire optical filters and coatings maker Alluxa, and more ceramic and glass business news of the week for October 5, 2020.
Read MoreACerS’ first-ever Ceramic Manufacturing Solutions Conference took place Tuesday, Sept. 29. Speakers discussed the latest ceramic manufacturing trends in three broad areas: Testing, Quality, and Health & Safety; Ceramic Processing; and Raw Materials.
Read MoreHaving enough outlet space on campus is a perennial problem for college students. A new Kickstarter campaign looks to fund creation of stackable gallium nitride wall chargers, which could expand USB charging capabilities while saving space.
Read MoreUltrasound signals converted directly to visible images, cement-free concrete beats corrosion, and other materials stories that may be of interest for September 30, 2020.
Read MoreCeramics Expo Connect, the virtual version of Ceramics Expo, took place Sept. 21–25, 2020. Panels, interviews, and roundtables covered a wide range of new and emerging ceramic applications across the five days.
Read MoreHighly conductive carbon materials are frequently investigated as host materials for sulfur in lithium-sulfur batteries, but such cathodes struggle with loss of sulfur due to the carbon surface being nonpolar. An international team of researchers explored if using polar silica instead as the host material may improve cycling stability, even though silica is nonconductive.
Read MoreInternational Year of Glass gathers momentum, ASTRO America proposes AM hypersonic missile production facility, and more ceramic and glass business news of the week for September 28, 2020.
Read MoreConventionally, theoretical models are unable to predict a material’s hardness from its crystal structure because the underlying physical principles are complex. A new machine learning model developed by two researchers at Skolkovo Institute of Science and Technology succeeds in making such predictions in a fast and reliable manner.
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