New class of industrial polymers discovered

(Phys.org) —Scientists from IBM Research have successfully discovered a new class of polymer materials that can potentially transform manufacturing and fabrication in the fields of transportation, aerospace, and microelectronics. ...

Researchers find new way to control quantum systems

Researchers from the Department of Applied Mathematics and the Institute for Quantum Computing at the University of Waterloo have developed a versatile new way of controlling quantum systems that can affect the reliability ...

Research team building a computer chip based on the human brain

Today's computing chips are incredibly complex and contain billions of nano-scale transistors, allowing for fast, high-performance computers, pocket-sized smartphones that far outpace early desktop computers, and an explosion ...

Energy harvesters transform waste into electricity

Billions of dollars lost each year as waste heat from industrial processes can be converted into electricity with a technology being developed at the Department of Energy's Oak Ridge National Laboratory.

The ductility of magnesium explained

Zhaoxuan Wu and William Curtin of the Laboratory for Multiscale Mechanics Modeling (LAMMM) have solved the 40-year-old scientific riddle of the low ductility magnesium.

Data Travels Six Times Faster in the Clouds

(PhysOrg.com) -- The National Center for Data Mining (NCDM) at the University of Chicago at Illinois established a cloud computing system that can quickly compile data from widely geographically distributed data centers across ...

Record simulations conducted on Lawrence Livermore supercomputer

(Phys.org) —Researchers at Lawrence Livermore National Laboratory have performed record simulations using all 1,572,864 cores of Sequoia, the largest supercomputer in the world. Sequoia, based on IBM BlueGene/Q architecture, ...

Deep learning stretches up to scientific supercomputers

Machine learning, a form of artificial intelligence, enjoys unprecedented success in commercial applications. However, the use of machine learning in high performance computing for science has been limited. Why? Advanced ...

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