Ultra-Low Resonance Frequency MEMS Gravimeter With Off-Resonance Closed-Loop Control


This paper reports on a MEMS gravimeter that has a closed-loop system to maintain an ultra-low resonance frequency of 1Hz. The low resonance frequency is attained by using a spring that is the resultant of positive mechanical stiffnesses and negative electrical stiffnesses. Voltage-tunability of the electrical stiffness enables ultra-small and tunable total stiffness. To attain a quick response... » read more

Blog Review: June 15


Ansys' Vidyu Challa considers common primary, or single-use, battery chemistries and how they affect that many important cell properties, such as energy density, flammability and safety, available cell constructions, temperature range, and shelf life. Synopsys' Rimpy Chugh and Rohit Kumar Ohlayan discuss some of the challenges arising from static linting of code, shifting linting left in the... » read more

Chips Can Boost Malware Immunity


Security is becoming an increasingly important design element, fueled by increasingly sophisticated attacks, the growing use of technology in safety-critical applications, and the rising value of data nearly everywhere. Hackers can unlock automobiles, phones, and smart locks by exploiting system design soft spots. They even can hack some mobile phones through always-on circuits when they are... » read more

Technical Paper Round-up: June 14


New technical papers added to Semiconductor Engineering’s library this week. [table id=33 /] 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

Research Bits: June 14


Photonic deep neural network chip Engineers from the University of Pennsylvania built a photonic deep neural network on a 9.3 square millimeter chip they say is faster and more efficient at classifying images, with the ability to process nearly two billion images a second. The chip uses a series of waveguides that form 'neutron layers' mimicking the brain. “Our chip processes information ... » read more

U. Of Florida: Protecting Chip-Design IP From Reverse-Engineering


New research paper titled "Hardening Circuit-Design IP Against Reverse-Engineering Attacks" from University of Florida. "Design-hiding techniques are a central piece of academic and industrial efforts to protect electronic circuits from being reverse-engineered. However, these techniques have lacked a principled foundation to guide their design and security evaluation, leading to a long line... » read more

Synchrotron S-ray Diffraction-based Non-destructive Nanoscale Mapping of Si/SiGe Nanosheets for GAA structures


New research paper titled "Mapping of the mechanical response in Si/SiGe nanosheet device geometries" from researchers at IBM T.J. Watson Research Center and Brookhaven National Laboratory. Sponsored by U.S. DOE. Abstract "The performance of next-generation, nanoelectronic devices relies on a precise understanding of strain within the constituent materials. However, the increased flexibilit... » read more

ORNL: Advantages of Using Wide Bandgap Semiconductor Materials For Extreme Temp & Radiation


Research paper from ORNL (Oak Ridge National Lab) titled "Wide Bandgap Semiconductors for Extreme Temperature and Radiation Environments." Abstract "With their greater voltage breakdowns, higher current limitations, and faster switching speeds, wide bandgap semiconductors are increasing in market application over the traditionally dominant silicon devices. Silicon carbide semiconductors hav... » read more

MIT: Stackable AI Chip With Lego-style Design


New technical paper titled "Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence" from researchers at MIT, along with Harvard University, Tsinghua University, Zhejiang University, and others. Partial Abstract: "Here we report stackable hetero-integrated chips that use optoelectronic device arrays for chip-to-chip communication and neuromorphic... » read more

Finding Wafer Defects Using Quantum DL


New research paper titled "Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning" by researchers at National Tsing Hua University. Abstract "With the rapid development of artificial intelligence and autonomous driving technology, the demand for semiconductors is projected to rise substantially. However, the massive expansion of semiconductor manufacturing and the develo... » read more

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