State-of-the-art semi-classical Monte Carlo method for carrier transport in nanoscale transistors

2015 ◽  
Author(s):  
P. Palestri ◽  
E. Caruso ◽  
F. Driussi ◽  
D. Esseni ◽  
D. Lizzit ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Carrier Transport ◽  
State Of The Art ◽  
Nanoscale Transistors

scholarly journals Improving Langley calibrations by reducing diurnal variations of aerosol Ångström parameters

2012 ◽  
Vol 5 (5) ◽  
pp. 6479-6492
Author(s):  
A. Kreuter ◽  
S. Wuttke ◽  
M. Blumthaler
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Aerosol Optical Depth ◽  
State Of The Art ◽  
Diurnal Variations ◽  
The Sun ◽  
Calibration Constant ◽  
Solar Noon ◽  
Sun Photometer ◽  
Photometer Calibration

Abstract. Errors in the sun photometer calibration constant lead to artificial diurnal variations, symmetric around solar noon, of the retrieved Aerosol Optical Depth (AOD) and the associated Ångström exponent α and its curvature γ. We show in simulations that within the uncertainty of state-of-the-art Langley calibrations, these diurnal variations of α and γ can be significant in low AOD conditions, while those of AOD are negligible. We implement a weighted Monte-Carlo method of finding an improved calibration constant by minimizing the diurnal variations in α and γ and apply the method to sun photometer data of a clear day in Innsbruck, Austria. The results show that our method can be used to improve the calibrations in two of the four wavelength channels by up to a factor of 3.6.

scholarly journals Application of Monte Carlo Methods to Consider Probabilistic Effects in a Race Simulation for Circuit Motorsport

2020 ◽  
Vol 10 (12) ◽  
pp. 4229 ◽  
Author(s):  
Alexander Heilmeier ◽  
Michael Graf ◽  
Johannes Betz ◽  
Markus Lienkamp
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
State Of The Art ◽  
Probability Distributions ◽  
Strategic Decisions ◽  
The Monte Carlo Method ◽  
Random Events ◽  
Example Variability

Applying an optimal race strategy is a decisive factor in achieving the best possible result in a motorsport race. This mainly implies timing the pit stops perfectly and choosing the optimal tire compounds. Strategy engineers use race simulations to assess the effects of different strategic decisions (e.g., early vs. late pit stop) on the race result before and during a race. However, in reality, races rarely run as planned and are often decided by random events, for example, accidents that cause safety car phases. Besides, the course of a race is affected by many smaller probabilistic influences, for example, variability in the lap times. Consequently, these events and influences should be modeled within the race simulation if real races are to be simulated, and a robust race strategy is to be determined. Therefore, this paper presents how state of the art and new approaches can be combined to modeling the most important probabilistic influences on motorsport races—accidents and failures, full course yellow and safety car phases, the drivers’ starting performance, and variability in lap times and pit stop durations. The modeling is done using customized probability distributions as well as a novel “ghost” car approach, which allows the realistic consideration of the effect of safety cars within the race simulation. The interaction of all influences is evaluated based on the Monte Carlo method. The results demonstrate the validity of the models and show how Monte Carlo simulation enables assessing the robustness of race strategies. Knowing the robustness improves the basis for a reasonable determination of race strategies by strategy engineers.

Carrier Transport and Velocity Overshoot in Strained Si On Sige Heterostructures

1998 ◽  
Vol 533 ◽  
Author(s):  
David K. Ferry ◽  
Gabriele Formicone ◽  
Dragica Vasileska
Keyword(s):  
Monte Carlo ◽  
Enhancement Factor ◽  
Carrier Transport ◽  
State Of The Art ◽  
Carrier Dynamics ◽  
Device Performance ◽  
Short Channel ◽  
Strained Si ◽  
Velocity Overshoot ◽  
Ensemble Monte Carlo

AbstractWe examine the velocity overshoot effect in strained Six on Six-Ge1-x heterostructures. We also investigate the performance of surface-channel strained-Si MOSFETs for devices with gate lengths representative of the state-of-the-art technology. The Ensemble Monte Carlo method, self-consistently coupled with the 2D Poisson equation solver, is used in the investigation of the device performance. Our simulations suggest that, in short-channel devices, velocity overshoot is very important. In fact, when velocity overshoot occurs, it greatly affects the carrier dynamics and the current enhancement factor of both surface-channel strained-Si and conventional Si MOSFETs.

scholarly journals Improving Langley calibrations by reducing diurnal variations of aerosol Ångström parameters

2013 ◽  
Vol 6 (1) ◽  
pp. 99-103 ◽  
Author(s):  
A. Kreuter ◽  
S. Wuttke ◽  
M. Blumthaler
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Aerosol Optical Depth ◽  
State Of The Art ◽  
Diurnal Variations ◽  
The Sun ◽  
Calibration Constant ◽  
Solar Noon ◽  
Sun Photometer ◽  
Photometer Calibration

Abstract. Errors in the sun photometer calibration constant lead to artificial diurnal variations, symmetric around solar noon, of the retrieved aerosol optical depth (AOD) and the associated Ångström exponent α and its curvature γ. We show in simulations that within the uncertainty of state-of-the-art Langley calibrations, these diurnal variations of α and γ can be significant in low AOD conditions, while those of AOD are negligible. We implement a weighted Monte Carlo method of finding an improved calibration constant by minimizing the diurnal variations in α and γ and apply the method to sun photometer data of a clear day in Innsbruck, Austria. The results show that our method can be used to improve the calibrations in two of the four wavelength channels by up to a factor of 3.6.

Effect of interface roughness on the carrier transport in germanium MOSFETs investigated by Monte Carlo method

2010 ◽  
Vol 19 (5) ◽  
pp. 057304 ◽  
Author(s):  
Du Gang ◽  
Liu Xiao-Yan ◽  
Xia Zhi-Liang ◽  
Yang Jing-Feng ◽  
Han Ru-Qi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Carrier Transport ◽  
Interface Roughness

scholarly journals Mat Sinking Unit supply study : Mississippi River revetment

2021 ◽  
Author(s):  
Julie Hicks ◽  
Laurin Yates ◽  
Jackie Pettway
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Mississippi River ◽  
State Of The Art ◽  
Supply And Demand ◽  
Mississippi Valley ◽  
Optimal Conditions ◽  
Production Rates ◽  
Daily Production ◽  
Supply Chain Logistics

The Mississippi Valley Division (MVD) has maintained the Mississippi River banks for over 80 years. The Mat Sinking Unit (MSU), built in 1946, was considered state-of-the-art at the time. This system is still in operation today and has placed over 1,000 miles of Articulated Concrete Mats along the Mississippi River from Head of Passes, LA, to Cairo, IL. A new MSU has been designed and is expected to be fully mission capable and operational by the 2023 season, which is expected to increase the productivity from 2,000 squares/day up to 8,000 squares/day with double shifts and optimal conditions. This MSU supply study identifies and optimizes the supply chain logistics for increased production rates from the mat fields to the MSU. The production rates investigated for this effort are 2,000 squares/day, 4,000 squares/day, and 6,000 squares/day. RiskyProject® software, which utilizes a Monte Carlo method to determine a range of durations, manpower, and supplies based on logical sequencing is used for this study. The study identifies several potential supply and demand issues with the increased daily production rates. Distance to casting fields, number of barges, and square availability are the major issues to supply increased placement rates identified by this study.

Carrier transport study in GaInNAs material using Monte-Carlo method

2008 ◽  
Author(s):  
Nikolaos Vogiatzis ◽  
Ying Ning Qiu ◽  
Judy M. Rorison
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Carrier Transport ◽  
Transport Study

Outbursts of comet Schwassmann-Wachmann 1, and the cloud of interplanetary boulders

1974 ◽  
Vol 22 ◽  
pp. 307 ◽  
Author(s):  
Zdenek Sekanina
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Interplanetary Space ◽  
Porous Matrix ◽  
Maximum Diameter ◽  
Expansion Velocity ◽  
Solid Constituent ◽  
Meteoric Material ◽  
Periodic Comet

AbstractIt is suggested that the outbursts of Periodic Comet Schwassmann-Wachmann 1 are triggered by impacts of interplanetary boulders on the surface of the comet’s nucleus. The existence of a cloud of such boulders in interplanetary space was predicted by Harwit (1967). We have used the hypothesis to calculate the characteristics of the outbursts – such as their mean rate, optically important dimensions of ejected debris, expansion velocity of the ejecta, maximum diameter of the expanding cloud before it fades out, and the magnitude of the accompanying orbital impulse – and found them reasonably consistent with observations, if the solid constituent of the comet is assumed in the form of a porous matrix of lowstrength meteoric material. A Monte Carlo method was applied to simulate the distributions of impacts, their directions and impact velocities.

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