Sensirion (Switzerland)

We present a novel technology for tactile haptic feedback tailored to Virtual Reality (VR) and Augmented Reality (AR) experiences. The aim of this work was to develop and evaluate a novel technology which we first evaluate for its applicability for tactile haptic feedback (THF); in a later step we aim to build a glove-based system combining tactile and kinesthetic haptic feedback (KHF) based on the same technology. Unlike piezoelectric benders, eccentric rotating masses (ERM), and linear resonant actuators (LRA) we present an application of piezoelectric motors aimed at providing realistic tactile haptic feedback. In this research demo, we explain the context of application, the principle of operation, specifics to the implementation, and a technology evaluation. In the last section, we will sketch possible next iterations for an even more immersive haptic experience.

Annealing at moderate temperatures (300–450°C) of H implanted silicon leads to the formation of nano-platelets within minutes and of micro-cracks or blisters within hours. Up to now, the mechanism by which they transform from one to another type of H 2 filled defect was unknown. We have analyzed the evolution of the characteristics of platelets populations at the onset of micro-cracks formation and found it occurs when and where a group of « large » platelets of 50 nm in diameter are close enough, typically at about 50 nm from each other. In situ TEM confirms that sudden nucleation of micro-cracks in place of groups of platelets occurs. It is concluded that micro-crack nucleation results from elastic interactions between neighboring platelets, favoring the opening of the silicon crystal between them.

SPIMemory <a href="https://travis-ci.org/Marzogh/SPIMemory"></a> <a href="https://zenodo.org/badge/latestdoi/35823047"></a> <hr> <blockquote><p>Formerly known as SPIFlash.</p> </blockquote> <hr> <p><a href="https://github.com/Marzogh/SPIMemory"></a> <a href="https://github.com/Marzogh/SPIMemory/compare/v3.1.0...development"></a> <a href="https://github.com/Marzogh/SPIMemory/issues"></a> <a href="https://github.com/Marzogh/SPIMemory/pulls"></a> <a href="https://github.com/Marzogh/SPIMemory/blob/master/LICENSE"></a></p> <hr> <p><strong>Please report any bugs in issues</strong></p> <hr> Arduino library for Flash Memory Chips (SPI based only) <p><sup> Download the latest stable release (v3.2.0) from <a href = "https://github.com/Marzogh/SPIMemory/releases/latest">here</a>. Please report any bugs in issues.</sup></p> <p>This Arduino library is for use with flash memory chips that communicate using the SPI protocol. In its current form it supports identifying the flash chip and its various features; automatic address allocation and management; writing and reading a number of different types of data, ranging from 8-bit to 32-bit (signed and unsigned) values, floats, Strings, arrays of bytes/chars and structs to and from various locations; sector, block and chip erase; and powering down for low power operation.</p> Compatibility Arduino IDEs supported (actually tested with) <ul> <li>IDE v1.5.x</li> <li>IDE v1.6.0-v1.6.5</li> <li>IDE v1.6.9-v1.6.12</li> <li>IDE v1.8.1-v1.8.5</li> </ul> Boards Completely supported <ul> <li>ATmega328P (Arduino Uno, Arduino Micro, Arduino Fio, Arduino Nano)</li> <li>ATmega32u4 (Arduino Leonardo, Arduino Fio v3)</li> <li>ATmega2560 (Arduino Mega)</li> <li>ATSAMD21G18 ARM Cortex M0+ (Adafruit Feather M0, Adafruit Feather M0 Express)</li> <li>AT91SAM3X8E ARM Cortex M3 (Arduino Due)</li> <li>ATSAMD51J19 ARM Cortex M4 (Adafruit Metro M4)</li> <li>STM32F091RCT6 (Nucleo-F091RC)</li> <li>ESP8266 Boards (Adafruit ESP8266 Feather)</li> <li>Simblee Boards (Sparkfun Simblee)</li> </ul> In BETA <ul> <li>ESP32 Boards (Tested on the Adafruit ESP32 Feather) The library is known to work with the ESP32 core as of the commit <a href = "<a href="https://github.com/espressif/arduino-esp32/tree/25dff4f044151f7f766c64b9d2ad90398472e6b3">25dff4f">https://github.com/espressif/arduino-esp32/tree/25dff4f044151f7f766c64b9d2ad90398472e6b3">25dff4f</a></a> on 05.04.2018. <code>ESP32 support will remain in beta till the ESP32 core can be installed via the Arduino boards manager.</code> NOTE: ESP32 boards usually have an SPI Flash already attached to their SS pin, so the user has to declare the ChipSelect pin being used when the constructor is declared - for example<pre><code>SPIFlash flash(33); </code></pre> </li> </ul> Flash memory compatibility Completely supported (Actually tested with) <ul> <li>Winbond<ul> <li>W25Q16BV</li> <li>W25Q64FV</li> <li>W25Q80BV</li> <li>W25Q256FV</li> </ul> </li> <li>Microchip<ul> <li>SST25VF064C</li> <li>SST26VF064B</li> </ul> </li> <li>Cypress/Spansion<ul> <li>S25FL032P</li> <li>S25FL116K</li> <li>S25FL127S</li> </ul> </li> <li>ON Semiconductor<ul> <li>LE25U40CMC</li> </ul> </li> <li>AMIC<ul> <li>A25L512A0</li> </ul> </li> <li>Micron<ul> <li>M25P40</li> </ul> </li> <li>Adesto<ul> <li>AT25SF041</li> </ul> </li> </ul> Should work with (Similar enough to the ones actually tested with) <ul> <li>Winbond (All SPI Flash chips)</li> <li>Microchip (SST25 & SST26 series)</li> <li>Cypress/Spansion (S25FL series)</li> <li>Any flash memory that is compatible with the SFDP standard as defined in JESD216B</li> </ul> Installation Option 1 <ul> <li>Open the Arduino IDE.</li> <li>Go to Sketch > Include Library > Manage libraries.</li> <li>Search for SPIMemory.</li> <li>Install the latest version.</li> </ul> Option 2 <ul> <li>Click on the 'Clone or download' button above the list of files on this <a href = "<a href="https://github.com/Marzogh/SPIMemory/tree/master">">https://github.com/Marzogh/SPIMemory/tree/master"></a> page </a>.</li> <li>Select Download ZIP. A .zip file will download to your computer.</li> <li>Unzip the archive and rename resulting folder to 'SPIMemory'</li> <li>Move the folder to your libraries folder (~/sketches/libraries)</li> </ul> <hr> Change log v3.2.0 <ul> <li><p>Library name changed to SPIMemory</p> </li> <li><p>The library now gathers sfdp information through _chipID(). SFDP information is collected when available, otherwise the library defaults to using code from v3.1.0 to ID the chip.</p> </li> </ul> Enhancements & Optimizations: <ul> <li>The library now does the following - if the flash memory chip is compatible with the SFDP standard<ul> <li>Identifies the flash memory chip using the Serial Flash Discoverable Parameters standard. (JESD216B)</li> <li>Identifies the following opcodes from the SFDP tables and uses them to read/write data:<pre><code> - eraseSector, eraseBlock32K, eraseBlock64K </code></pre> </li> <li>Reads timing information from SFDP to accurately time the following operations:<pre><code> - eraseSector, eraseBlock32K, eraseBlock64K </code></pre> </li> </ul> </li> </ul> New flash memory chips supported: <ul> <li><p>All flash memories compatible with the SFDP standard (as at JESD216B) should be compatible with the library</p> </li> <li><p>LE25U40CMC from ON Semiconductor</p> </li> <li>A25L512A0 from AMIC</li> <li>M25P40 from Micron</li> <li>AT25SF041 from Adesto</li> <li>S25FL032P from Cypress/Spansion</li> </ul> New Microcontrollers supported: <ul> <li>ATSAMD51J19 ARM Cortex M4 (Adafruit Metro M4)</li> </ul>

Over the past few years, many low-cost pollution sensors have been integrated into measurement platforms for air quality monitoring. However, using these sensors is challenging: concentrations of toxic substances in ambient air often lie at sensors' sensitivity boundaries, environmental conditions affect the sensor measurements, and the sensors often suffer from poor selectivity, i.e. are cross-sensitive to multiple pollutants. Datasheet information on these effects is scarce or may not cover deployment conditions. Consequently the sensors need to undergo extensive pre-deployment testing to examine their feasibility for a given application and to find the optimal measurement setup that allows accurate data collection and calibration. In this work, we propose a novel method to conduct in-field testing of low-cost sensors. The algorithm proposed is based on multiple least-squares and leverages the physical variation of urban air pollution to quantify the amount of explained and unexplained sensor signal. We verify (i) whether a sensor is feasible for air quality monitoring in a given environment and underpin our analysis with positive and negative examples of sensors available on the market, (ii) model sensor cross-sensitivities to interfering gases and environmental effects and (iii) compute the optimal sensor array and its calibration parameters for stable and accurate sensor measurements over long time periods in a given environment. Finally, we provide an experimental evaluation of our approach using over 9 million measurements of various low-cost sensors collected in an urban area. Based on the results from our testing methodology we propose an optimized sensor array setup. Further, we show---compared to a state-of-the-art calibration technique---a significantly lower calibration error with better long-time stability of the calibration parameters.

One of the major motivations to study single molecule magnets (SMMs) is to design ultra dense data storage devices, where each bit of information is stored on the magnetization of a single molecule.

This paper presents a CMOS-compatible wafer-level fabrication process for monolithic CMOS/MEMS sensor systems coated with sensitive layers directly deposited by means of flame spray pyrolysis (FSP). Microhotplate (µHP)-based devices, featuring an FSP directly deposited SnO2/Pt layer, have successfully been realized on a wafer level. The thermal characterization evidenced a thermal resistance of 10.6 °C mW−1; moreover, gas test measurements with ethanol have been performed. Microhotplate membrane deformations during device operation have been investigated and have been reduced by adjustment of the intrinsic stress of a deposited silicon nitride layer.

Describes the design, fabrication and performance of a new form of humidity sensor based on CMOS technology. The sensor incorporates analogue signal processing and serial digital communications on a single silicon chip.

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