Institution
STMicroelectronics
Company•Geneva, Switzerland•
About: STMicroelectronics is a company organization based out in Geneva, Switzerland. It is known for research contribution in the topics: Transistor & Signal. The organization has 17172 authors who have published 29543 publications receiving 300766 citations. The organization is also known as: SGS-Thomson & STM.
Topics: Transistor, Signal, Integrated circuit, CMOS, Layer (electronics)
Papers published on a yearly basis
Papers
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TL;DR: In this article, a model for the onsite matrix elements of the tight-binding Hamiltonian of a strained diamond or zinc-blende crystal or nanostructure is presented, which is able to reproduce the effects of arbitrary strains on the band energies and effective masses in the full Brillouin zone.
Abstract: We discuss a model for the onsite matrix elements of the $s{p}^{3}{d}^{5}{s}^{\ensuremath{\ast}}$ tight-binding Hamiltonian of a strained diamond or zinc-blende crystal or nanostructure. This model features onsite, off-diagonal couplings among the $s$, $p$, and $d$ orbitals and is able to reproduce the effects of arbitrary strains on the band energies and effective masses in the full Brillouin zone. It introduces only a few additional parameters and is free from any ambiguities that might arise from the definition of the macroscopic strains as a function of the atomic positions. We apply this model to silicon, germanium, and their alloys as an illustration. In particular, we make a detailed comparison of tight-binding and ab initio data on strained Si, Ge, and SiGe.
143 citations
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01 Feb 2017TL;DR: A booming number of computer vision, speech recognition, and signal processing applications, are increasingly benefiting from the use of deep convolutional neural networks, with a DCNN significantly outperforming classical approaches for the first time.
Abstract: A booming number of computer vision, speech recognition, and signal processing applications, are increasingly benefiting from the use of deep convolutional neural networks (DCNN) stemming from the seminal work of Y. LeCun et al. [1] and others that led to winning the 2012 ImageNet Large Scale Visual Recognition Challenge with AlexNet [2], a DCNN significantly outperforming classical approaches for the first time. In order to deploy these technologies in mobile and wearable devices, hardware acceleration plays a critical role for real-time operation with very limited power consumption and with embedded memory overcoming the limitations of fully programmable solutions.
143 citations
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TL;DR: Continuous weekly changes of time of maximum and minimum in the cardiac sympathetic and vagal autonomic control may play a role in the excessive rate of cardiovascular diseases in shift workers.
Abstract: Background—Shift work is associated with an increased rate of cardiovascular diseases and accidents. Discordance between circadian rhythms of stress-related biological variables and the work-sleep schedule might explain the reduced efficiency of work. It is not clear whether a shift schedule of work may induce similar discordance in the 24-hour oscillatory pattern of the cardiac autonomic control in respect to the work-sleep periods. Methods and Results—Twenty-two healthy male blue-collar shift workers underwent 24-hour ECG recordings during each of the 3 different shifts (first, 6 am to 2 pm; second, 2 to 10 pm; third, 10 pm to 6 am). Spectral analysis of heart rate variability over 24 hours provided the normalized markers of cardiac sympathetic (LFnu) and vagal (HFnu) modulation of the sinoatrial node activity and of the sympathovagal balance (LF/HF). LFnu and LF/HF exhibited 24-hour oscillations with different times of maximum and minimum in accordance with the working and sleeping periods, respectivel...
143 citations
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TL;DR: A personalized approach to selecting antiplatelet therapy for patients with Acute Coronary Syndromes may reduce ischemic and bleeding events.
143 citations
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TL;DR: A direct conversion 802.11a receiver front-end including a synthesizer with quadrature VCO has been integrated in a 0.13-/spl mu/m CMOS process, which is a current driven passive mixer with a low impedance load that achieves a low 1/f noise corner and an high I-Q accuracy quadratures VCO.
Abstract: A direct conversion 802.11a receiver front-end including a synthesizer with quadrature VCO has been integrated in a 0.13-/spl mu/m CMOS process. The chip has an active area of 1.8 mm/sup 2/ with the entire RF portion operated from 1.2 V and the low frequency portion operated from 2.5 V. Its key features are a current driven passive mixer with a low impedance load that achieves a low 1/f noise corner and an high I-Q accuracy quadrature VCO. Measured noise figure is 3.5 dB with an 1/f noise corner of 200 kHz, and an IIP3 of -2 dBm. The synthesizer DSB phase noise integrated over a 10 MHz band is less than -36 dBc while its I-Q phase unbalance is below 1 degree.
143 citations
Authors
Showing all 17185 results
Name | H-index | Papers | Citations |
---|---|---|---|
Bharat Bhushan | 116 | 1276 | 62506 |
Albert Polman | 97 | 445 | 42985 |
G. Pessina | 84 | 828 | 30807 |
Andrea Santangelo | 83 | 886 | 29019 |
Paolo Mattavelli | 74 | 482 | 19926 |
Daniele Ielmini | 68 | 367 | 16443 |
Jean-François Carpentier | 62 | 459 | 14271 |
Robert Henderson | 58 | 440 | 13189 |
Bruce B. Doris | 56 | 604 | 12366 |
Renato Longhi | 55 | 177 | 8644 |
Aldo Romani | 54 | 425 | 11513 |
Paul Muralt | 54 | 344 | 12694 |
Enrico Zanoni | 53 | 705 | 13926 |
Gaudenzio Meneghesso | 51 | 703 | 12567 |
Franco Zappa | 50 | 274 | 9211 |