New hardware offers faster computation for artificial intelligence, with much less energy
An analog deep learning processor powered by ultrafast protonics. Credit: Ella Maru Studio, Murat Onen As scientists push the boundaries ...
Tag: materials science
Scientists explore how to make PV even greener
The 1-MW photovoltaic array at NREL's Flatirons Campus. Credit: Werner Slocum, NREL How do we reduce the carbon impact of ...
Volatolomics: Robot noses may one day be able to ‘smell’ disease on your breath
Scientists develop diagnostic device for identifying compounds unique to particular diseases. Credit: Nano Research, Tsinghua University Press Scientists are working ...
We need to simplify the chemistry industry to make it sustainable
Credit: Pixabay/CC0 Public Domain Like many industries, the chemical industry needs to become more sustainable and, among other things, reduce ...
Let machines do the work: Automating semiconductor research with machine learning
Reflection high-energy electron diffraction (RHEED) is an imaging technique widely used to analyze the surface structures of materials grown via ...
Study highlights the potential of neuromorphic architectures to perform random walk computations
Particle simulations on neuromorphic hardware. Credit: Darby Smith et al. Over the past decade or so, many researchers worldwide have ...
Discovery unravels how atomic vibrations emerge in nanomaterials
Optics table used for nonlinear optical measurements. Credit: University of Virginia A hundred years of physics tells us that collective ...
Molecular paddlewheels propel sodium ions through next-generation batteries
Illustration showing the atomic structure of solid-electrolyte Na3PS4 with channels for Na+ ions (purple) between PS43- polyanions (orange). The black ...
Scientists reduce all-solid-state battery resistance by heating
Credit: Shigeru Kobayashi and Taro Hitosugi of Tokyo Institute of Technology All-solid-state batteries are now one step closer to becoming ...
Novel way to perform ‘general inverse design’ with high accuracy
SMART researchers pioneer a new machine learning model able to design materials of various elements and structures from human-defined properties ...
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