A physics-aware compact modeling framework for transistor aging in the entire bias space

Author(s):  
Zhicheng Wu ◽  
Dimitri Linten ◽  
Ben Kaczer ◽  
Jacopo Franco ◽  
Philippe J. Roussel ◽  
...  
2012 ◽  
Vol 69 ◽  
pp. 72-84 ◽  
Author(s):  
Mike Schwarz ◽  
Thomas Holtij ◽  
Alexander Kloes ◽  
Benjamín Iñíguez

2018 ◽  
Vol 11 (10) ◽  
pp. 3983-3997 ◽  
Author(s):  
Vladimir V. Kalmykov ◽  
Rashit A. Ibrayev ◽  
Maxim N. Kaurkin ◽  
Konstantin V. Ushakov

Abstract. We present a new version of the Compact Modeling Framework (CMF3.0) developed for the software environment of stand-alone and coupled global geophysical fluid models. The CMF3.0 is designed for use on high- and ultrahigh-resolution models on massively parallel supercomputers.The key features of the previous CMF, version 2.0, are mentioned to reflect progress in our research. In CMF3.0, the message passing interface (MPI) approach with a high-level abstract driver, optimized coupler interpolation and I/O algorithms is replaced with the Partitioned Global Address Space (PGAS) paradigm communications scheme, while the central hub architecture evolves into a set of simultaneously working services. Performance tests for both versions are carried out. As an addition, some information about the parallel realization of the EnOI (Ensemble Optimal Interpolation) data assimilation method and the nesting technology, as program services of the CMF3.0, is presented.


2018 ◽  
Author(s):  
Vladimir V. Kalmykov ◽  
Rashit A. Ibrayev ◽  
Maxim N. Kaurkin ◽  
Konstantin V. Ushakov

Abstract. We present new version of the Compact Modeling Framework (CMF3.0) developed for providing the software environment for stand-alone and coupled models of the Global geophysical fluids. The CMF3.0 designed for implementation high and ultra-high resolution models at massive-parallel supercomputers. The key features of the previous CMF version (2.0) are mentioned for reflecting progress in our researches. In the CMF3.0 pure MPI approach with high-level abstract driver, optimized coupler interpolation and I/O algorithms is replaced with PGAS paradigm communications scheme, while central hub architecture evolves to the set of simultaneously working services. Performance tests for both versions are carried out. As addition a parallel realisation of the EnOI (Ensemble Optimal Interpolation) data assimilation method as program service of CMF3.0 is presented.


2018 ◽  
Vol 33 (6) ◽  
pp. 333-340 ◽  
Author(s):  
Rostislav Yu. Fadeev ◽  
Konstantin V. Ushakov ◽  
Mikhail A. Tolstykh ◽  
Rashit A. Ibrayev

Abstract SLAV–INMIO–CICE is the coupled atmosphere–ocean–ice model developed at Marchuk Institute of Numerical Mathematics (INM) Russian Academy of Sciences (RAS), Shirshov Institute of Oceanology RAS and Hydrometeorological Centre of Russia (HMCR). The model components are coupled using the new version of the own developed Compact Modeling Framework (CMF). This paper presents design of the coupled model and some computational aspects related to the model components coupling. Preliminary evaluation of the coupled model climate and performance are also given.


2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Francisco Pasadas ◽  
Enrique G. Marin ◽  
Alejandro Toral-Lopez ◽  
Francisco G. Ruiz ◽  
Andrés Godoy ◽  
...  

AbstractWe present a physics-based circuit-compatible model for double-gated two-dimensional semiconductor-based field-effect transistors, which provides explicit expressions for the drain current, terminal charges, and intrinsic capacitances. The drain current model is based on the drift-diffusion mechanism for the carrier transport and considers Fermi–Dirac statistics coupled with an appropriate field-effect approach. The terminal charge and intrinsic capacitance models are calculated adopting a Ward–Dutton linear charge partition scheme that guarantees charge conservation. It has been implemented in Verilog-A to make it compatible with standard circuit simulators. In order to benchmark the proposed modeling framework we also present experimental DC and high-frequency measurements of a purposely fabricated monolayer MoS2-FET showing excellent agreement between the model and the experiment and thus demonstrating the capabilities of the combined approach to predict the performance of 2DFETs.


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