Chip Industry’s Technical Paper Roundup: May 16


New technical papers recently added to Semiconductor Engineering’s library: [table id=103 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us... » read more

Toolbox For Designing Heterogeneous Quantum Systems


A new technical paper titled "Microarchitectures for Heterogeneous Superconducting Quantum Computers" was published by researcher at: Pacific Northwest National Laboratory, Princeton University, University of Chicago, Rutgers University, MIT, Brookhaven National Laboratory, and Infleqtion. Abstract: "Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headlines in recent years, ... » read more

Power/Performance Bits: Jan. 25


Nanoscale 3D optics Researchers at Rice University and University of Houston are using 3D printing to build nanostructures of silica for micro-scale electronic, mechanical, and photonic devices. “It’s very tough to make complicated, three-dimensional geometries with traditional photolithography techniques,” said Jun Lou, a professor of materials science and nanoengineering at Rice. �... » read more

System Bits: July 3


CMU prof gets a shot at new supercomputer The National Energy Research Scientific Computing Center will greet its Perlmutter supercomputing system in early 2020. The Cray-designed machine will be capable of 100 million billion floating operations per second. Zachary Ulissi of Carnegie Mellon University will be among the first researchers to use the supercomputer. "When this machine comes on... » read more

Manufacturing Bits: May 21


World’s loudest underwater sound A group of researchers hit tiny jets of water with a high-power X-ray laser, creating a record for the world’s loudest underwater sound. The intensity of the blast resulted in an underwater sound with an intensity greater than 270 decibels (dB). That’s greater than the intensity of a rocket launch or equivalent of creating electrical power for a city o... » read more

Power/Performance Bits: Dec. 26


2nm memristors Researchers at the University of Massachusetts Amherst and Brookhaven National Laboratory built memristor crossbar arrays with a 2nm feature size and a single-layer density up to 4.5 terabits per square inch. The team says the arrays were built with foundry-compatible fabrication technologies. "This work will lead to high-density memristor arrays with low power consumption fo... » read more

Power/Performance Bits: July 31


Training optical neural networks Researchers from Stanford University used an optical chip to train an artificial neural network, a step that could lead to faster, more efficient AI tasks. Although optical neural networks have been recently demonstrated, the training step was performed using a model on a traditional digital computer and the final settings were then imported into the optical... » read more

Power/Performance Bits: June 19


Tandem solar reaches 25.2% efficiency In the push for ever-more efficient solar panels, researchers are turning to tandem, or double-junction, photovoltaics. Tandem solar panels use two different types of solar cell capable of absorbing different wavelengths of light stacked on top of each other to maximize the conversion of light rays into electrical power. Recently, two groups have reache... » read more

System Bits: Oct. 17


Piezoelectric, ingestible sensors With an aim to help doctors diagnose gastrointestinal disorders that slow down the passage of food through the digestive tract, MIT and Brigham and Women’s Hospital researchers have built a flexible sensor that can be rolled up and swallowed. Once ingested, the sensor adheres to the stomach wall or intestinal lining, where it can measure the rhythmic con... » read more

System Bits: Aug. 15


Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that uses machine learning to pick different algorithms depending on network conditions thereby delivering a higher-quality streaming exp... » read more

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