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Technical Paper Roundup: Sept. 12


New technical papers added to Semiconductor Engineering’s library this week. [table id=51 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit f... » read more

Structural Phase Transition In Minute Detail On A Very Fast Timescale–A Path To Improved Computer Memories (Argonne National Lab)


A new technical paper titled "X-ray nanodiffraction imaging reveals distinct nanoscopic dynamics of an ultrafast phase transition" was published by researchers at Argonne National Lab, UCSD, and the University of Wisconsin–Madison. According to Argonne National Lab's news release," researchers have for the first time been able to look at a structural phase transition in minute detail on a ... » read more

Technical Paper Round-Up: June 21


New technical papers added to Semiconductor Engineering’s library this week. [table id=34 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit f... » read more

Graphene Nanoribbon Transistors Using Hydrocarbon Seeds (University of Wisconsin-Madison)


New research paper titled "Graphene nanoribbons initiated from molecularly derived seeds" from researchers at University of Wisconsin-Madison with contributions from Argonne National Laboratory. Abstract "Semiconducting graphene nanoribbons are promising materials for nanoelectronics but are held back by synthesis challenges. Here we report that molecular-scale carbon seeds can be exploi... » read more

Power/Performance Bits: June 29


Persistent photoconductivity Researchers at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL), University of Wisconsin Madison, and the University of Toledo, discovered a unique effect in metal-halide perovskite semiconductors that could be used in neuromorphic computing systems. Perovskites are currently being investigated as highly efficient solar cells. In fact,... » read more

Power/Performance Bits: Aug. 20


Six-angstrom waveguide Engineers at the University of California San Diego, City University of New York, and Johns Hopkins University created the thinnest optical waveguide yet. At only three atoms thick, the team says the waveguide serves as a proof of concept for scaling down optical devices. The waveguide consists of a tungsten disulfide monolayer (made up of one layer of tungsten atoms ... » read more

Power/Performance Bits: July 23


Image-recognizing glass Engineers at the University of Wisconsin-Madison, MIT, and Columbia University developed a way to create 'smart' glass capable of performing image recognition tasks without the need for electronics or power. "We're using optics to condense the normal setup of cameras, sensors and deep neural networks into a single piece of thin glass," said Zongfu Yu, electrical and ... » read more

System Bits: June 10


SlothBot swings through the trees, slowly A robot that doesn’t often move, spending its days, weeks, months, in the forest canopy, monitoring the local environment – that’s SlothBot, from the Georgia Institute of Technology. The robot has two photovoltaic solar panels for its power source. It is designed to stay in the trees for months at a time. It’s gone through trials on the Geor... » read more

Power/Performance Bits: April 23


Tiny spectrometer Engineers at the University of Wisconsin-Madison, Sandia National Laboratories, and Huazhong University of Science and Technology developed a miniature spectrometer small enough to integrate with the camera on a typical cellphone without sacrificing accuracy. This miniature sensor is CMOS compatible. "This is a compact, single-shot spectrometer that offers high resolution ... » read more

Power/Performance Bits: Jan. 29


Neural nets struggle with shape Cognitive psychologists at the University of California Los Angeles investigated how deep convolutional neural networks identify objects and found a big difference between the way these networks and humans perceive objects. In the first of a series of experiments, the researchers showed color images of animals and objects that had been altered to have a diffe... » read more

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