Interface with Opamp Output-Impedance Calibration Technique for a Large Integrated 2-D Resistive Sensor Array

Shiiki, Yohsuke; Ishikuro, Hiroki

doi:10.1109/iscas.2019.8702594

Cited by 7 publications

(5 citation statements)

References 6 publications

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“…Good ohmic characteristics are observed using the ATO contacts, as shown in the inset of Figure c. A 1024 (32 × 32) crossbar sensor array is fabricated based on the lateral channel geometry and evaluated using the developed measurement systems (Figure d). , A crossbar sensor array with the conventional vertical channel geometry is also fabricated for comparison (Figure S2).…”

Section: Resultsmentioning

confidence: 99%

“…The resistances of the 1024 sensors in the sensor array were obtained every 0.6 s. Two types of methods were utilized for the analog front-end circuit. One was denoted the voltage feedback method (VFM), wherein an opamp was used to achieve an imaginary short between the row electrode connecting the target sensor and the other electrodes . The VFM requires a high-drivability opamp because its output current flows into all resistive sensors in parallel with the target sensors for unity gain feedback.…”

Section: Methodsmentioning

confidence: 99%

“…One was denoted the voltage feedback method (VFM), wherein an opamp was used to achieve an imaginary short between the row electrode connecting the target sensor and the other electrodes. 42 The VFM requires a high-drivability opamp because its output current flows into all resistive sensors in parallel with the target sensors for unity gain feedback. Such a high-output-current opamp consumes a large area if the circuit was implemented in the complementary metal oxide semiconductor (CMOS) process.…”

Section: ■ Conclusionmentioning

confidence: 99%

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Impact of Lateral SnO₂ Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array

et al. 2022

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We propose a rational strategy to fabricate thermally robust, highly integrated molecular and gas sensors utilizing a lateral SnO 2 nanofilm channel geometry on a 1024 crossbar sensor array. The proposed lateral channel geometry substantially suppresses the detrimental effects of parasitic interconnect wire resistances compared with those of a conventional vertical sandwich-type crossbar array because of its excellent resistance controllability. A conductive oxide top-contact electrode on the lateral SnO 2 nanofilm channel enhances the thermal stability at temperatures of up to 500 °C in ambient air. Integrating this lateral SnO 2 nanofilm geometry with analog circuits enables the operation of a 1024 crossbar sensor array without selector devices to avoid sneak currents. The developed 1024 crossbar sensor array system detects the local spatial distribution of the molecular gas concentration. The spatial data of molecular concentrations include molecule-specific data to distinguish various volatile molecules based on their vapor pressures. Thus, this integrated crossbar sensor array system using lateral nanofilm geometry offers a platform for robust, reliable, highly integrated molecular and gas sensors.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: ■ Conclusionmentioning

confidence: 99%

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Impact of Lateral SnO₂ Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array

et al. 2022

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“…To this end, since the proposed architecture is expected to function as a single unit in a manner similar to a single sensor device, it can be calibrated based on known calibration techniques for single sensor devices, e.g. [36][37][38].…”

Section: Process Variation and Wire Resistancementioning

confidence: 99%

Low power memristive gas sensor architectures with improved sensing accuracy

et al. 2022

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Memristive devices, traditionally considered for memory, logic, and neuromorphic systems, are exhibiting many interesting properties for applications in a variety of areas, such as in sensing chemicals. However, any realistic approach based on these devices must take into account their susceptibility to process and parametric variations. When used for sensing purposes this, together with wire resistance, can significantly degrade their sensing accuracy. To this end, we propose novel memristive gas sensor architectures that can significantly reduce these effects in a predictable manner, while improving accuracy and overall power consumption. Additionally, we show that in the absence of gasses this architecture can also be configured to realize multifunction logic operations as well as Complementary Resistive Switch with low hardware overhead, thereby enhancing resource reusability. We also present a method for further improving power consumption and measurability by manipulating a device’s internal barrier. Our results show that the proposed architecture is significantly immune to process and parametric variations compared to a single sensor and almost unaffected by wire resistance, while offering much higher accuracy and much lower power consumption compared to existing techniques.

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“…Thus, we use resistive sensors to measure temperature (known as thermistors), gas detection [2], or magnetoresistive sensors [3,4]. These sensors can also be grouped in arrays, for example in anemometry [5], and for gas detection [6] or in tactile piezoresistive sensor arrays [7,8]. Different methods can be used to perform resistance-to-digital conversion.…”

Section: Introductionmentioning

confidence: 99%

Fast Calibration Methods for Resistive Sensor Readout Based on Direct Interface Circuits

Hidalgo-López

Botín-Córdoba

Sánchez-Durán

et al. 2019

Sensors

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A simple method to measure the resistance of a sensor and convert it into digital information in a programmable digital device is by using a direct interface circuit. This type of circuit deduces the value of the resistor based on the discharge time through it for a capacitor of a known value. Moreover, the discharge times of this capacitor should be measured through one or two resistors with known values in order to ensure that the estimate is not dependent on certain parameters that change with time, temperature, or aging. This can slow down the conversion speed, especially for high resistance values. To overcome this problem, we propose a modified process in which part of the discharge, which was previously performed through the resistive sensor only, is only conducted with the smallest calibration resistor. Two variants of this operation method, which differ in the reduction of the total time necessary for evaluation and in the uncertainty of the measurements, are presented. Experiments carried out with a field programmable gate array (FPGA); using these methodologies achieved reductions in the resistance conversion time of up to 55%. These reductions may imply an increase in the uncertainty of the measurements; however, the tests carried out show that with a suitable choice of parameters, the increases in uncertainty, and therefore errors, may be negligible compared to the direct interface circuits described in the literature.

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Interface with Opamp Output-Impedance Calibration Technique for a Large Integrated 2-D Resistive Sensor Array

Cited by 7 publications

References 6 publications

Impact of Lateral SnO₂ Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array

Impact of Lateral SnO₂ Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array

Low power memristive gas sensor architectures with improved sensing accuracy

Fast Calibration Methods for Resistive Sensor Readout Based on Direct Interface Circuits

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Interface with Opamp Output-Impedance Calibration Technique for a Large Integrated 2-D Resistive Sensor Array

Cited by 7 publications

References 6 publications

Impact of Lateral SnO2 Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array

Impact of Lateral SnO2 Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array

Low power memristive gas sensor architectures with improved sensing accuracy

Fast Calibration Methods for Resistive Sensor Readout Based on Direct Interface Circuits

Contact Info

Product

Resources

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Impact of Lateral SnO₂ Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array

Impact of Lateral SnO₂ Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array