GMIC receives funding to help decarbonize the U.S. industrial sector, Lumus and SCHOTT strengthen manufacturing partnership for optical AR glasses, and more ceramic and glass business news of the week for February 5, 2024.
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MXene-enhanced hydrogel sensors, next-generation solar panels, and other materials stories that may be of interest for September 27, 2023.
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We Recycle Solar unveils largest PV recycling plant in the U.S., Micron launches U.S.–Japan university partnership for semiconductors, and more ceramic and glass business news of the week for May 29, 2023.
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How pearls achieve nanoscale precision, stretchy LEDs, and other materials stories that may be of interest for October 27, 2021.
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ACerS is pleased to announce Geoff Brennecka has been selected for Volunteer Spotlight, a program through which we recognize a member who demonstrates outstanding service to The American Ceramic Society…
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Alt-E Fund, a nonprofit organization, has a goal of generating financial support to fund research in clean energy technologies. It wants to change the way energy research is funded by “harnessing the passion of millions of citizens to vote with their wallet and provide the needed funds to enable crucial research.”
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Researchers at Colorado School of Mines and the University of Florida are well on their way to solving grain boundaries’ secrets—the team recently achieved unprecedented atom-by-atom visualization of the chemical composition of grain boundaries.
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The Ceramic and Glass Industry Foundation has launched a new initiative—the University-Industry Network, a program that focuses on encouraging schools around the world to align more closely with industry as they continue teaching key concepts in ceramic and glass science.
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Researchers at Colorado School of Mines have now propelled that continual innovation even further with their latest report on a new ceramic material and production technique that holds big promise for our fuel cell-filled futures.
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NSF is banking on faster materials development through data mining with a $250,000 award to computer science professor Junzhou Huang to help design “scalable algorithms and a computational framework that can search unprecedented volumes of data detailing the complete set of genes present in numerous materials.”
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