Jun 16, 2020

Learning with brain chemistry https://t.co/UJRbFdHuUh #paper https://t.co/PB4Ty0moUg


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June 16, 2020 at 05:39PM
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#GNU #Health #Embedded #OpenSource Health Platform Works on Raspberry Pi 3/4, and soon Olimex SBC's https://t.co/mIXu3NfQPy https://t.co/I0tkTqXijs


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June 16, 2020 at 04:46PM
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[paper] TFT Compact Modeling

Arun Dev Dhar Dwivedi, Sushil Kumar Jain, Rajeev Dhar Dwivedi and Shubham Dadhich
Numerical Simulation and Compact Modeling 
of Thin Film Transistors for Future Flexible Electronics
Submitted: July 4th 2019Reviewed: October 28th 2019Published: June 10th 2020
DOI: 10.5772/intechopen.90301

Abstract: In this chapter, we present a finite element method (FEM)-based numerical device simulation of low-voltage DNTT-based organic thin film transistor (OTFT) by considering field-dependent mobility model and double-peak Gaussian density of states model. Device simulation model is able to reproduce output characteristics in linear and saturation region and transfer characteristics below and above threshold region. We also demonstrate an approach for compact modeling and compact model parameter extraction of organic thin film transistors (OTFTs) using universal organic TFT (UOTFT) model by comparing the compact modeling results with the experimental results. Results obtained from technology computer-aided design (TCAD) simulation and compact modeling are compared and contrasted with experimental results. Further we present simulations of voltage transfer characteristic (VTC) plot of polymer P-channel thin film transistor (PTFT)-based inverter to assess the compact model against simple logic circuit simulation using SmartSpice and Gateway.
Fig.: Schematic cross-sectional diagram of organic TFTs 
along with the chemical structure of SAM and organic semiconductor.

Acknowledgments: The authors are thankful to SERB, DST, Government of India, for the financial support under Early Career Research Award (ECRA) for Project No. ECR/2017/000179.

#Intel’s #10nm Node: Past, Present, and Future [EETimes] https://t.co/P3Fi3xUogJ #paper https://t.co/QoFX5z22br


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