tag: Moscow Institute of Physics and Technology

Power/Performance Bits: Jan. 13
By Jesse Allen - 13 Jan, 2020 - Comments: 0

Ferroelectric memory Researchers at the Moscow Institute of Physics and Technology and North Carolina State University developed a ferroelectric memory cell and a method for measuring the electric potential distribution across a ferroelectric capacitor, an important aspect of creating new nonvolatile ferroelectric devices. The team's new ferroelectric memory cell is made from a 10nm thick z... » read more

System Bits: May 14
By Jeff Dorsch - 14 May, 2019 - Comments: 0

Faster U.S. supercomputers on the way The U.S. Department of Energy awarded a contract for more than $600 million to Cray for an exascale supercomputer to be installed at the Oak Ridge National Laboratory during 2021. Cray will provide its Shasta architecture and Slingshot interconnect for what is dubbed the Frontier supercomputer. Advanced Micro Devices will have a key role in building the... » read more

System Bits: April 30
By Jeff Dorsch - 30 Apr, 2019 - Comments: 0

Future batteries could use a graphene sponge Researchers at Sweden’s Chalmers University of Technology devised a porous, sponge-like aerogel, made of reduced-graphene oxide, to serve as a freestanding electrode in the battery cell. This utilization has the potential to advance lithium sulfur batteries, which are said to possess a theoretical energy density about five times greater than lithi... » read more

Manufacturing Bits: Nov. 20
By Mark LaPedus - 20 Nov, 2018 - Comments: 0

Predicting crystal structures A group of researchers have improved a crystal structure prediction algorithm, enabling the ability to develop new crystal structures and compounds at faster rates. In 2005, Artem Oganov, now a professor at the Skolkovo Institute of Science and Technology (Skoltech) and the Moscow Institute of Physics and Technology (MIPT), developed a crystal structure predic... » read more

Power/Performance Bits: Aug. 7
By Jesse Allen - 07 Aug, 2018 - Comments: 0

Optical neural network Researchers at the National Institute of Standards and Technology (NIST) have made a silicon chip that distributes optical signals precisely across a miniature brain-like grid, showcasing a potential new design for neural networks. Using light would eliminate interference due to electrical charge and the signals would travel faster and farther, said the researchers. "... » read more

Manufacturing Bits: Jan. 16
By Mark LaPedus - 16 Jan, 2018 - Comments: 0

Coherent X-ray imaging Russia’s National University of Science and Technology MISIS has developed a non-destructive way to observe the inner structures of photonic crystals. The technology, called ptychographic coherent X-ray imaging, obtains the electron density of colloidal crystals. Ptychography is a lensless, X-ray coherent imaging technique. Others are also working on the techno... » read more

Manufacturing Bits: Feb. 14
By Mark LaPedus - 14 Feb, 2017 - Comments: 0

Making quark soup CERN, the European Organization for Nuclear Research, recently presented its latest results on quark-gluon plasma, or quark soup, a state of matter that supposedly existed during the early formation of the universe. For this, CERN used the Large Hadron Collider (LHC), the world’s most powerful particle accelerator. The LHC is situated in a tunnel 100 meters underground ... » read more

System Bits: Feb. 14
By Ann Mutschler - 14 Feb, 2017 - Comments: 0

Potential anticancer drugs selected by neural network Moscow Institute of Physics and Technology researchers along with Mail.Ru Group, and Insilico Medicine have applied a generative neural network to create new pharmaceutical medicines with certain desired characteristics. A generative adversarial network (GAN) was developed and trained to "invent" new molecular structures in order to dram... » read more

Power/Performance Bits: May 31
By Jesse Allen - 31 May, 2016 - Comments: 0

Solar thermophotovoltaics A team of MIT researchers demonstrated a device based on a method that enables solar cells to break through a theoretically predicted ceiling on how much sunlight they can convert into electricity. Since 1961 it has been known that there is an absolute theoretical limit, called the Shockley-Queisser Limit, to how efficient traditional solar cells can be in their ... » read more

System Bits: May 3
By Ann Mutschler - 03 May, 2016 - Comments: 0

Neural network synapses In a development that could potentially be used as a basis for the hardware implementation of artificial neural networks, Moscow Institute of Physics and Technology (MIPT) researchers have created prototypes of electronic synapses based on ultra-thin films of hafnium oxide (HfO2). The team made the HfO2-based memristors measuring just 40x40 nm2, which exhibit propert... » read more

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