Researchers at the National Energy Renewable Laboratory have created a database of inorganic thin-film materials containing 10 years’ worth of research. This open-access database could accelerate research advances in advanced energy and beyond.
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In an effort to develop more intelligent data analysis to drive informed nanomaterials design, a unique research initiative at Lehigh University is taking the human element into account in its quest to evolve how we analyze data.
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Using the power of a supercomputer at the Texas Advanced Computing Center at the University of Texas Austin, a Georgia Tech professor of mechanical engineering is going to save the world—and glass is going to play a central role.
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While big data has a familiar role in research, that’s not the only place for potential—because analysis of big data offers the ability to comprehensively assess many nuanced variables at once, it’s particularly well suited for complex processes such as manufacturing.
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The Materials Project—a public database of materials property data launched in 2011—just released another massive chunk of data, complete with user-friendly tools to explore and analyze that data.
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Scientists at Corning Inc. (Corning, N.Y.) and Aalborg University (Aalborg, Denmark) have turned to computer modeling to help develop a glass-specific genome that will allow exploration and tailoring of specific properties of functional glasses.
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Researchers at the University of California, Santa Barbara, are using the power of data to help develop new materials for extreme environments.
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A winning recipe for 3-D printing bone, visualizing lithiation of iron oxide, and other materials stories that may be of interest for May 11, 2016.
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Researchers at the University of Southampton (U.K.) have developed a glass-based 5-D data storage method with incredibly high capacity and a near-unlimited lifetime.
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In a new paper published in the Journal of the American Ceramic Society, authors Sylvain Deville and Adam J. Stevenson provide a visual evolution of ceramics research through data mining of bibliographic records.
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