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Journal articles on the topic 'VHDL-AMS'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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1

Vlček, Karel, Vladislav Musil, and Jan Popelek. "Mixed Mode Modelling by VHDL-AMS." IFAC Proceedings Volumes 33, no. 1 (2000): 53–58. http://dx.doi.org/10.1016/s1474-6670(17)35586-6.

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2

Sabiro, S. "Mixed-Mode System design: VHDL-AMS." Microelectronic Engineering 54, no. 1-2 (2000): 171–80. http://dx.doi.org/10.1016/s0167-9317(00)00491-3.

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3

Garcia Sabiro, Serge. "Mixed-mode system design: VHDL-AMS." Microelectronic Engineering 54, no. 1-2 (2000): 171–80. http://dx.doi.org/10.1016/s0167-9317(00)80068-4.

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4

Gao, Jin, and Zhe Min Duan. "Circuit Modeling and Simulation Based on VHDL-AMS." Applied Mechanics and Materials 143-144 (December 2011): 649–52. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.649.

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In the progress of product researching and developing, it is very necessary that the founding of virtual prototype. In the phase of circuit simulation, there is a big problem in system simulation, which is the absence of SPICE model of mixed- signal. While solving the problem, the self-making device model is very powerful to finish the 'Top-down' simulation by the advantage of VHDL-AMS language. To find the advantage of the VHDL-AMS language for analog system, this modeling method is also effective to describe the mixed-signal system's structure and action.
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5

Micouin, Patrice. "Model Based Systems Engineering using VHDL-AMS." Procedia Computer Science 16 (2013): 128–37. http://dx.doi.org/10.1016/j.procs.2013.01.014.

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6

Teslyuk, V. M., P. Yu Denysyuk, and T. V. Teslyuk. "DEVELOPMENT OF THE BASIC CAPACITIVE ACCELEROMETERS MODELS BASED ON THE VHDL-AMS LANGUAGE FOR THE CIRCUIT LEVEL OF COMPUTER-AIDED DESIGN." Ukrainian Journal of Information Technology 2, no. 1 (2020): 15–20. http://dx.doi.org/10.23939/ujit2020.02.015.

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In the article, the basic VHDL-AMS models of MEMS-based capacitive accelerometers were developed. The models were designed for two basic types of capacitive accelerometers, namely lamellar and counter-pivotal. The developed models allow us to determine the source of electrical capacitive accelerometers depending on the incoming mechanical and structural parameters and were constructed for MEMS CAD at the circuit level. The circuit level of MEMS development requires an analysis of the total integrated device electric circuits. For this purpose, all the MEMS components should be written in the specific software systems, which would be understandable for the software system. Taking into account that MEMS devices operate on different physical principles, certain difficulties may arise during the electrical analysis, that is, the work of mechanical or other devices need to be described with the help of electric parameters. In the general case, the method for building the VHDL-AMS model of the MEMS-based capacitive accelerometer is needed construction of the simplified mechanical model, and then a simplified electrical model. On the basis of the simplified models, the VHDL-AMS model of electromechanical MEMS devices has been developed. In the article, the method of automated synthesis and mathematical models using the VHDL-AMS language, which is based on the method of electrical analogies were described. They use systems of ordinary differential equations and partial differential equations to determine the relationships between input and output parameters. The sequence and quantity of used differential equations are determined by the physical principles of operation of the MEMS element and the number of energy transformations, which allows increasing the level of automation of synthesis operations compared to existing methods. The results of the basic lamellar and counter-pivotal capacitive accelerometers are also shown. This enables to conduct research and analysis of its parameters and investigate the output electric parameters dependence on the input mechanical ones.
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7

Sida, M., R. Ahola, and D. Wallner. "Bluetooth transceiver design and simulation with VHDL-AMS." IEEE Circuits and Devices Magazine 19, no. 2 (2003): 11–14. http://dx.doi.org/10.1109/mcd.2003.1191432.

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8

Xiao, Liyi, Yizheng Ye, and Bin Li. "A new synchronization algorithm for VHDL-AMS simulation." Journal of Computer Science and Technology 17, no. 1 (2002): 28–37. http://dx.doi.org/10.1007/bf02949822.

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9

Mousa, Rami, Dominique Planson, and Hervé Morel. "Caractérisation et modélisation VHDL-AMS du transistor JFET-SiC." European Journal of Electrical Engineering 14, no. 1 (2011): 7–27. http://dx.doi.org/10.3166/ejee.14.7-27.

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10

Rezgui, A., L. Gerbaud, and B. Delinchant. "Unified modeling technique using VHDL-AMS and software components." Mathematics and Computers in Simulation 90 (April 2013): 266–76. http://dx.doi.org/10.1016/j.matcom.2012.11.003.

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11

Voigt, P., G. Schrag, and G. Wachutka. "Microfluidic system modeling using VHDL-AMS and circuit simulation." Microelectronics Journal 29, no. 11 (1998): 791–97. http://dx.doi.org/10.1016/s0026-2692(97)00093-1.

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12

Wang, L., and T. J. Kazmierski. "VHDL‐AMS based genetic optimisation of fuzzy logic controllers." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 26, no. 2 (2007): 447–60. http://dx.doi.org/10.1108/03321640710727791.

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13

Prégaldiny, Fabien, and Christophe Lallement. "Fourth generation MOSFET model and its VHDL-AMS implementation." International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 18, no. 1 (2004): 39–48. http://dx.doi.org/10.1002/jnm.560.

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14

El-Shaer, A. M., A. A. A. Nasser, and N. Hamdy. "Simulation of Single–Electron Transistor Circuits Using “VHDL-AMS” Model." Menoufia Journal of Electronic Engineering Research 20, no. 1 (2010): 1–10. http://dx.doi.org/10.21608/mjeer.2010.63814.

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15

Rezgui, Abir, Laurent Gerbaud, and Benoit Delinchant. "VHDL-AMS Electromagnetic Automatic Modeling for System Simulation and Design." IEEE Transactions on Magnetics 50, no. 2 (2014): 1013–16. http://dx.doi.org/10.1109/tmag.2013.2281495.

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16

Dadouche, F., A. Pinna, P. Garda, and A. Alexandre-Gauthier. "Modelling of pixel sensors for image systems with VHDL-AMS." International Journal of Electronics 95, no. 3 (2008): 211–25. http://dx.doi.org/10.1080/00207210701827871.

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17

Doménech-Asensi, G., and J. Garrigós-Guerrero. "Proposal of synthesisable analogue-to-digital converters from VHDL-AMS." International Journal of Electronics 95, no. 9 (2008): 891–902. http://dx.doi.org/10.1080/00207210802312104.

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18

Blunier, B., and A. Miraoui. "Modelling of fuel cells using multi-domain VHDL-AMS language." Journal of Power Sources 177, no. 2 (2008): 434–50. http://dx.doi.org/10.1016/j.jpowsour.2007.11.002.

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19

Carr, C. T., T. M. McGinnity, and L. J. McDaid. "Integration of UML and VHDL-AMS for analogue system modelling." Formal Aspects of Computing 16, no. 1 (2004): 80–94. http://dx.doi.org/10.1007/s00165-003-0027-0.

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20

Endema o, A., J. Y. Fourniols, H. Camon, et al. "VHDL–AMS modelling and simulation of a planar electrostatic micromotor." Journal of Micromechanics and Microengineering 13, no. 5 (2003): 580–90. http://dx.doi.org/10.1088/0960-1317/13/5/308.

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21

Rezgui, Abir, Laurent Gerbaud, and Benoit Delinchant. "VHDL-AMS to Support DAE-PDE Coupling and Multilevel Modeling." IEEE Transactions on Magnetics 48, no. 2 (2012): 627–30. http://dx.doi.org/10.1109/tmag.2011.2177248.

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22

Prégaldiny, Fabien, François Krummenacher, Birahim Diagne, François Pêcheux, Jean-Michel Sallese, and Christophe Lallement. "Explicit modelling of the double-gate MOSFET with VHDL-AMS." International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 19, no. 3 (2006): 239–56. http://dx.doi.org/10.1002/jnm.609.

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23

Pecheux, F., C. Lallement, and A. Vachoux. "VHDL-AMS and Verilog-AMS as alternative hardware description languages for efficient modeling of multidiscipline systems." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 24, no. 2 (2005): 204–25. http://dx.doi.org/10.1109/tcad.2004.841071.

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24

Durga Bhavani, R. "Design of Fast Locking ADPLL via FFC Technique using VHDL-AMS." CVR Journal of Science & Technology 10, no. 1 (2016): 10–14. http://dx.doi.org/10.32377/cvrjst1003.

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25

Casu, M. R., M. Crepaldi, and M. Graziano. "A VHDL-AMS Simulation Environment for an UWB Impulse Radio Transceiver." IEEE Transactions on Circuits and Systems I: Regular Papers 55, no. 5 (2008): 1368–81. http://dx.doi.org/10.1109/tcsi.2008.916402.

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26

Shahim-Aeen, Afsaneh, and Gholamreza Karimi. "Triplet-based spike timing dependent plasticity (TSTDP) modeling using VHDL-AMS." Neurocomputing 149 (February 2015): 1440–44. http://dx.doi.org/10.1016/j.neucom.2014.08.050.

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27

Najjari, M., H. Mnif, H. Samet, and N. Masmoudi. "New modeling of the power diode using the VHDL-AMS language." European Physical Journal Applied Physics 41, no. 1 (2007): 1–11. http://dx.doi.org/10.1051/epjap:2007176.

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28

Boussetta, Hela, Marcin Marzencki, Skandar Basrour, and Adel Soudani. "Efficient Physical Modeling of MEMS Energy Harvesting Devices With VHDL-AMS." IEEE Sensors Journal 10, no. 9 (2010): 1427–37. http://dx.doi.org/10.1109/jsen.2010.2044786.

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29

Graziano, Mariagrazia, and Massimo Ruo Roch. "An Automotive CD-Player Electro-Mechanics Fault Simulation Using VHDL-AMS." Journal of Electronic Testing 24, no. 6 (2008): 539–53. http://dx.doi.org/10.1007/s10836-008-5064-4.

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30

Khouri, Rami, Vincent Beroulle, Tan-Phu Vuong, and Smaïl Tedjini. "UHF RFID tag-antenna matching optimization using VHDL-AMS behavioral modeling." Analog Integrated Circuits and Signal Processing 50, no. 2 (2006): 151–58. http://dx.doi.org/10.1007/s10470-006-9001-0.

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31

Doménech-Asensi, G., J. A. Díaz-Madrid, and R. Ruiz-Merino. "Synthesis of CMOS analog circuit VHDL-AMS descriptions using parameterizable macromodels." International Journal of Circuit Theory and Applications 41, no. 7 (2011): 732–42. http://dx.doi.org/10.1002/cta.820.

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32

Lysenko, I. E., M. A. Denisenko, and A. S. Isaeva. "Design and Simulation of the Two-Axis Micromachined Angular Rate Sensor." Journal of Physics: Conference Series 2086, no. 1 (2021): 012176. http://dx.doi.org/10.1088/1742-6596/2086/1/012176.

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Abstract Micromechanical inertia sensors - accelerometers, gyroscopes, multisensor modules and systems based on them - are widely used in navigation, for compensation of other instruments (accelerometers, inclinometers) or stabilization (gyroscopes). The paper presents the designed construction of a MEMS angular rate sensor with two sensitivity axes, topology of gyroscope is presented; modal and static analysis is performed using ANSYS CAD; simulation results of micromechanical gyroscope operation under the action of angular velocities using VHDL-AMS are presented.
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33

Coutard, Frederic, Patrick Schweitzer, and Etienne Tisserand. "Modeling of an ultrasonic auto-controlled frequency generator in VHDL-AMS language." Measurement Science and Technology 19, no. 4 (2008): 045107. http://dx.doi.org/10.1088/0957-0233/19/4/045107.

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34

Christen, E., and K. Bakalar. "VHDL-AMS-a hardware description language for analog and mixed-signal applications." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 46, no. 10 (1999): 1263–72. http://dx.doi.org/10.1109/82.799677.

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35

Pascal, J., S. Adam, O. Steiger, and W. R. Werbanets. "Optimization of an Electro-Optic Voltage Transducer using a VHDL-AMS model." Procedia Engineering 25 (2011): 59–62. http://dx.doi.org/10.1016/j.proeng.2011.12.015.

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36

Perdriau, Richard, Mohamed Ramdani, Jean-Luc Levant, Eric Tinlot, and Anne-Marie Trullemans-Anckaert. "An EMC-oriented VHDL-AMS simulation methodology for dynamic current activity assessment." Microelectronics Journal 35, no. 6 (2004): 541–46. http://dx.doi.org/10.1016/j.mejo.2003.11.004.

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37

Nikitin, Pavel V., and C. J. Richard Shi. "VHDL-AMS based modeling and simulation of mixed-technology microsystems: a tutorial." Integration 40, no. 3 (2007): 261–73. http://dx.doi.org/10.1016/j.vlsi.2005.12.002.

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38

Gursoy, M., S. Jahn, B. Deutschmann, and G. Pelz. "Methodology to Predict EME Effects in CAN Bus Systems Using VHDL-AMS." IEEE Transactions on Electromagnetic Compatibility 50, no. 4 (2008): 993–1002. http://dx.doi.org/10.1109/temc.2008.927925.

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39

da Silva, A. C. R., and I. A. Grout. "MS2SV: Environment for translation of Matlab / Simulink models to VHDL-AMS models." IEEE Latin America Transactions 9, no. 5 (2011): 663–72. http://dx.doi.org/10.1109/tla.2011.6030974.

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40

-Alali, Oussama. "Spécification et modélisation VHDL-AMS pour la conception de systèmes multi-technologies." Revue de l'Electricité et de l'Electronique -, no. 04 (1998): 75. http://dx.doi.org/10.3845/ree.1998.039.

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41

Micouin, Patrice. "Property-Model Methodology: A Model-Based Systems Engineering Approach Using VHDL-AMS." Systems Engineering 17, no. 3 (2013): 249–63. http://dx.doi.org/10.1002/sys.21267.

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42

Toufik, Merdjana, and Chaabi Abdelhafid. "Study and simulation with VHDL-AMS of the electrical impedance of a piezoelectric ultrasonic transducer." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 2 (2019): 1064–71. https://doi.org/10.11591/ijpeds.v10.i2.pp1064-1071.

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Ultrasonic transducers are a key element that governs the performances of both generating and receiving ultrasound in an ultrasonic measurement system. Electrical impedance is a parameter sensitive to the environment of the transducer; it contains information about the transducer but also on the medium in which it is immersed. Several practical applications exploit this property. For this study, the model is implemented with the VHDL-AMS behavioral language. The simulations approaches presented in this work are based on the electrical Redwood model and its parameters are deduced from the transducer electroacoustic characteristics.
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43

Taylan, Osman, Mona Abusurrah, Ehsan Eftekhari-Zadeh, Ehsan Nazemi, Farheen Bano, and Ali Roshani. "Controlling Effects of Astrocyte on Neuron Behavior in Tripartite Synapse Using VHDL–AMS." Mathematics 9, no. 21 (2021): 2700. http://dx.doi.org/10.3390/math9212700.

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Astrocyte cells form the largest cell population in the brain and can influence neuron behavior. These cells provide appropriate feedback control in regulating neuronal activities in the Central Nervous System (CNS). This paper presents a set of equations as a model to describe the interactions between neurons and astrocyte. A VHDL–AMS-based tripartite synapse model that includes a pre-synaptic neuron, the synaptic terminal, a post-synaptic neuron, and an astrocyte cell is presented. In this model, the astrocyte acts as a controller module for neurons and can regulates the spiking activity of them. Simulation results show that by regulating the coupling coefficients of astrocytes, spiking frequency of neurons can be reduced and the activity of neuronal cells is modulated.
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44

Graziano, Mariagrazia, Ali Zahir, Malik Ashter Mehdy, and Gianluca Piccinini. "VHDL-AMS Simulation Framework for Molecular-FET Device-to-Circuit Modeling and Design." Active and Passive Electronic Components 2018 (2018): 1–18. http://dx.doi.org/10.1155/2018/6974874.

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We concentrate on Molecular-FET as a device and present a new modular framework based on VHDL-AMS. We have implemented different Molecular-FET models within the framework. The framework allows comparison between the models in terms of the capability to calculate accurate I-V characteristics. It also provides the option to analyze the impact of Molecular-FET and its implementation in the circuit with the extension of its use in an architecture based on the crossbar configuration. This analysis evidences the effect of choices of technological parameters, the ability of models to capture the impact of physical quantities, and the importance of considering defects at circuit fabrication level. The comparison tackles the computational efforts of different models and techniques and discusses the trade-off between accuracy and performance as a function of the circuit analysis final requirements. We prove this methodology using three different models and test them on a 16-bit tree adder included in Pentium 4 that, to the best of our knowledge, is the biggest circuits based on molecular device ever designed and analyzed.
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45

Wang, Leran, and Tom J. Kazmierski. "VHDL-AMS Based Genetic Optimization of Mixed-Physical-Domain Systems in Automotive Applications." SIMULATION 85, no. 10 (2009): 661–70. http://dx.doi.org/10.1177/0037549709106693.

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46

Doménech-Asensi, Ginés, Juan Hinojosa, and Juan Martínez-Alajarín. "A behavioral model development methodology for microwave components and integration in VHDL-AMS." Microelectronics Journal 38, no. 4-5 (2007): 489–95. http://dx.doi.org/10.1016/j.mejo.2007.03.017.

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47

Abe, Takashi, Shikoh Takakura, and Tsuyoshi Higuchi. "A Study of Vehicle Fuel Consumption Simulation using VHDL-AMS Multi-domain Simulation." Journal of international Conference on Electrical Machines and Systems 2, no. 2 (2013): 232–38. http://dx.doi.org/10.11142/jicems.2013.2.2.232.

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48

Guelaz, Rachid, Djilali Kourtiche, and Mustapha Nadi. "Ultrasonic Piezoceramic Transducer Modeling With VHDL-AMS: Application to Ultrasound Nonlinear Parameter Simulations." IEEE Sensors Journal 6, no. 6 (2006): 1652–61. http://dx.doi.org/10.1109/jsen.2006.883090.

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49

Troudi, M., A. Mahmoudi, N. Sghaier, and A. Soltani. "Theoretical Modeling of a Photodetector Based on Ballistic Carbone Nanotube with VHDL-AMS." International Letters of Chemistry, Physics and Astronomy 55 (July 2015): 112–18. http://dx.doi.org/10.18052/www.scipress.com/ilcpa.55.112.

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In this paper we present a new VHDL-AMS model of carbone nanotube field effect transistor for photo-detection application: (photo-CNTFET). Contrary to classical photodetectors, the photo-CNTFET has the potential to work on a wide range of optical frequencies and high quantum efficiency and can be used as a highly sensitive and rapid response photodetector. Based on its excellent conductivity and very low capacitance, Carbon nanotubes provide highly mobile electrons and low noise in the system. The simulation results obtained in the present paper has shown its relevance as precise and fast tool to investigate the effects of photoexcitation on Ids-Vds characteristics of the photo-CNTFET. We have present results obtained after variation of power illumination and light beam wavelength.
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50

Troudi, M., Abdelghani Mahmoudi, N. Sghaier, and A. Soltani. "Theoretical Modeling of a Photodetector Based on Ballistic Carbone Nanotube with VHDL-AMS." International Letters of Chemistry, Physics and Astronomy 55 (July 3, 2015): 112–18. http://dx.doi.org/10.56431/p-w9522p.

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In this paper we present a new VHDL-AMS model of carbone nanotube field effect transistor for photo-detection application: (photo-CNTFET). Contrary to classical photodetectors, the photo-CNTFET has the potential to work on a wide range of optical frequencies and high quantum efficiency and can be used as a highly sensitive and rapid response photodetector. Based on its excellent conductivity and very low capacitance, Carbon nanotubes provide highly mobile electrons and low noise in the system. The simulation results obtained in the present paper has shown its relevance as precise and fast tool to investigate the effects of photoexcitation on Ids-Vds characteristics of the photo-CNTFET. We have present results obtained after variation of power illumination and light beam wavelength.
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