Physics-based compact modeling framework for state-of-the-art and emerging STT-MRAM technology

This paper presents the coupling of a state-of-the-art ride-pooling fleet simulation package with the mobiTopp travel demand modeling framework. The coupling of both models enables a detailed agent- and activity-based demand model, in which travelers have the option to use ride-pooling based on real-time offers of an optimized ride-pooling operation. On the one hand, this approach allows the application of detailed mode-choice models based on agent-level attributes coming from mobiTopp functionalities. On the other hand, existing state-of-the-art ride-pooling optimization can be applied to utilize the full potential of ride-pooling. The introduced interface allows mode choice based on real-time fleet information and thereby does not require multiple iterations per simulated day to achieve a balance of ride-pooling demand and supply. The introduced methodology is applied to a case study of an example model where in total approximately 70,000 trips are performed. Simulations with a simplified mode-choice model with varying fleet size (0–150 vehicles), fares, and further fleet operators’ settings show that (i) ride-pooling can be a very attractive alternative to existing modes and (ii) the fare model can affect the mode shifts to ride-pooling. Depending on the scenario, the mode share of ride-pooling is between 7.6% and 16.8% and the average distance-weighed occupancy of the ride-pooling fleet varies between 0.75 and 1.17.

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Sub-THz and THz SiGe HBT Electrical Compact Modeling

Electronics ◽

10.3390/electronics10121397 ◽

2021 ◽

Vol 10 (12) ◽

pp. 1397

Author(s):

Bishwadeep Saha ◽

Sebastien Fregonese ◽

Anjan Chakravorty ◽

Soumya Ranjan Panda ◽

Thomas Zimmer

Keyword(s):

Heterojunction Bipolar Transistors ◽

Silicon Germanium ◽

High Frequency ◽

State Of The Art ◽

Sensitivity Study ◽

Compact Modeling ◽

Process Technology ◽

Very High Frequency ◽

Sige Hbt ◽

Frequency Behavior

From the perspectives of characterized data, calibrated TCAD simulations and compact modeling, we present a deeper investigation of the very high frequency behavior of state-of-the-art sub-THz silicon germanium heterojunction bipolar transistors (SiGe HBTs) fabricated with 55-nm BiCMOS process technology from STMicroelectronics. The TCAD simulation platform is appropriately calibrated with the measurements in order to aid the extraction of a few selected high-frequency (HF) parameters of the state-of-the-art compact model HICUM, which are otherwise difficult to extract from traditionally prepared test-structures. Physics-based strategies of extracting the HF parameters are elaborately presented followed by a sensitivity study to see the effects of the variations of HF parameters on certain frequency-dependent characteristics until 500 GHz. Finally, the deployed HICUM model is evaluated against the measured s-parameters of the investigated SiGe HBT until 500 GHz.

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Analytical compact modeling framework for the 2D electrostatics in lightly doped double-gate MOSFETs

Solid-State Electronics ◽

10.1016/j.sse.2011.11.023 ◽

2012 ◽

Vol 69 ◽

pp. 72-84 ◽

Cited By ~ 19

Author(s):

Mike Schwarz ◽

Thomas Holtij ◽

Alexander Kloes ◽

Benjamín Iñíguez

Keyword(s):

Compact Modeling ◽

Double Gate ◽

Modeling Framework

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Compact Modeling Framework v3.0 for high-resolution global ocean–ice–atmosphere models

Geoscientific Model Development ◽

10.5194/gmd-11-3983-2018 ◽

2018 ◽

Vol 11 (10) ◽

pp. 3983-3997 ◽

Cited By ~ 6

Author(s):

Vladimir V. Kalmykov ◽

Rashit A. Ibrayev ◽

Maxim N. Kaurkin ◽

Konstantin V. Ushakov

Keyword(s):

Message Passing ◽

Message Passing Interface ◽

Global Ocean ◽

Optimal Interpolation ◽

Compact Modeling ◽

Software Environment ◽

Modeling Framework ◽

Partitioned Global Address Space ◽

Version 2.0 ◽

High Level

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.

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Compact Modeling Framework v3.0 for high-resolution global ocean-ice-atmosphere models

10.5194/gmd-2017-294 ◽

2018 ◽

Cited By ~ 1

Author(s):

Vladimir V. Kalmykov ◽

Rashit A. Ibrayev ◽

Maxim N. Kaurkin ◽

Konstantin V. Ushakov

Keyword(s):

High Resolution ◽

Global Ocean ◽

Optimal Interpolation ◽

Compact Modeling ◽

Software Environment ◽

Modeling Framework ◽

Coupled Models ◽

High Resolution Models ◽

High Level ◽

Parallel Supercomputers

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.

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Corrigendum to A State-of-the-Art Modeling Framework to Improve Congestion by Changing the Configuration/Enforcement of Urban Logistics Loading/Unloading Bays

Procedia - Social and Behavioral Sciences ◽

10.1016/j.sbspro.2016.04.001 ◽

2014 ◽

Vol 111 ◽

pp. 1275

Author(s):

A. Alho ◽

J. de Abreu e Silva ◽

J. Pinho de Sousa

Keyword(s):

State Of The Art ◽

Modeling Framework

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Normalization and De-noising of Single-cell Hi-C Data with BandNorm and 3DVI

10.1101/2021.03.10.434870 ◽

2021 ◽

Author(s):

Ye Zheng ◽

Siqi Shen ◽

Sündüz Keleş

Keyword(s):

Single Cell ◽

Long Range ◽

High Throughput ◽

State Of The Art ◽

Cell Types ◽

Chromatin Conformation ◽

Modeling Framework ◽

Technical Noise ◽

Generative Modeling ◽

Downstream Analysis

AbstractSingle-cell high-throughput chromatin conformation capture methodologies (scHi-C) enable profiling long-range genomic interactions at the single-cell resolution; however, data from these technologies are prone to technical noise and bias that, when unaccounted for, hinder downstream analysis. Here we developed a fast band normalization approach, BandNorm, and a deep generative modeling framework, 3DVI, to explicitly account for scHi-C specific technical biases. We present robust performances of BandNorm and 3DVI compared to existing state-of-the-art methods. BandNorm is effective in separating cell types, identification of interaction features, and recovery of cell-cell relationship, whereas de-noising by 3DVI successfully enables 3D compartments and domains recovery, especially for rare cell types.

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