Chip Industry’s Technical Paper Roundup: October 9


New technical papers added to Semiconductor Engineering’s library this week. [table id=153 /] More Reading Technical Paper Library home » read more

Noise Parameter Survey Of Millimeter Wave GaN HEMT Technologies


A technical paper titled “A Survey of GaN HEMT Technologies for Millimeter-Wave Low Noise Applications” was published by researchers at Wright-Patterson AFB, Teledyne Scientific, HRL Laboratories, BAE Systems, Pseudolithic, Northrop Grumman Corporation, and University of California Santa Barbara. "This article presents a set of measured benchmarks for the noise and gain performance of si... » read more

Week In Review: Manufacturing, Test


The Chinese government is considering easing proposed rules that require foreign office equipment makers operating in the country to transfer key product technology to China, per Nikkei Asia. In April 2022, Chinese authorities began revamping their national standards to include a new requirement that key components, such as semiconductors and laser-related items, be designed, developed, and pro... » read more

Week In Review: Manufacturing, Test


Global semiconductor sales decreased 5.2% month-to-month in January, according to a new report by the Semiconductor Industry Association (SIA). For the year, worldwide chip sales are down 18.5%, with the largest drop in sales by China at 31.6%, followed by the Asia Pacific region at 19.5%, and the Americas at 12.4%. Despite the contraction, companies are increasing investments in manufacturi... » read more

Materials and Device Simulations for Silicon Qubit Design and Optimization


Abstract: "Silicon-based microelectronics technology is extremely mature, yet this profoundly important material is now also poised to become a foundation for quantum information processing technologies. In this article, we review the properties of silicon that have made it the material of choice for semiconductor-based qubits with an emphasis on the role that modeling and simulation have play... » read more

3D Printing For More Circuits


After several years of experimentation, and growing success in volume manufacturing for some use cases, technologies for 3D printing of electronic circuits are becoming more common. Some innovations in processes and materials are moving these technologies closer to mainstream electronics manufacturing. Christopher Tuck, professor of material science at the University of Nottingham, observed ... » read more

Manufacturing Bits: June 22


5G metasurface antennas At the recent 2021 IEEE 71st Electronic Components and Technology Conference (ECTC), the Institute of Microelectronics of the Chinese Academy of Sciences (CAS) presented a paper on a low-profile broadband metasurface antenna for 5G antenna-in-package applications. The National Center for Advanced Packaging and the University of Chinese Academy of Sciences also contri... » read more

Manufacturing Bits: Sept. 22


Hairy nanoparticles The U.S. Air Force Research Laboratory is developing a new type of material called preceramic polymer-grafted nanoparticles or “hairy nanoparticles” (HNP). HNPs can be used to manufacture a new class of aircraft parts made of ceramic composite materials. An HNP is a hybrid material. It is based on a polymer shell, which is bound to a nanoparticle core, according to t... » read more

Zeroing In On Biological Computing


Artificial spiking neural networks need to replicate both excitatory and inhibitory biological neurons in order to emulate the neural activation patterns seen in biological brains. Doing this with CMOS-based designs is challenging because of the large circuit footprint required. However, researchers at HP Labs observed that one biologically plausible model, the Hodgkins-Huxley model, is math... » read more

Spiking Neural Networks Place Data In Time


Artificial neural networks have found a variety of commercial applications, from facial recognition to recommendation engines. Compute-in-memory accelerators seek to improve the computational efficiency of these networks by helping to overcome the von Neumann bottleneck. But the success of artificial neural networks also highlights their inadequacies. They replicate only a small subset of th... » read more

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