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Computational Material Science→Resources: News
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News
- January 24, 2020 .A path toward shapeshifting new materials—Engineering’s Hall Lecture Feb. 12
Next-generation materials will be defined by their ability to adapt, change their properties, change their shape—shapeshifters.
- May 29, 2019 .NIST Study Identifies Chemical Blends as Possible Alternative Refrigerants
More than a dozen chemical blends could serve as alternative refrigerants that won’t heat the atmosphere as much as today’s refrigerants do, or catch fire, according to a new computational study by the National Institute of Standards and Technology (NIST).
- June 29, 2018 .NIST Researchers Simulate Simple Logic for Nanofluidic Computing
Invigorating the idea of computers based on fluids instead of silicon, researchers at the National Institute of Standards and Technology (NIST) have shown how computational logic operations could be performed in a liquid medium by simulating the trapping of ions (charged atoms) in graphene (a sheet of carbon atoms) floating in saline solution. The scheme might also be used in applications such as water filtration, energy storage or sensor technology.
- April 2, 2018 .Materials—Polymer theory problem
Scientists at Oak Ridge National Laboratory have conducted a series of breakthrough experimental and computational studies that cast doubt on a 40-year-old theory describing how polymers in plastic materials behave during processing. The team used high-performance computing and neutron scattering to evaluate systems of highly entangled, spaghetti-like polymers undergoing deformation, finding evidence of flaws in the so-called “tube model,” which describes how polymer strings flow when stretched, pulled and squeezed.
- December 4, 2017 .Materials—When alloys attract
A multi-laboratory research team led by Oak Ridge National Laboratory used neutrons, x-rays and computational modeling to “see” the atomic structures inside a new class of aluminum-cerium alloys created for automotive and aerospace applications.
- October 28, 2009 .New methods are changing old materials
Computational approach to materials science could bring new properties even to familiar substances such as concrete and steel
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