Academic literature on the topic 'Diffusion drift models'

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Journal articles on the topic "Diffusion drift models"

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van den Berg, J. P., N. E. Engelbrecht, N. Wijsen, and R. D. Strauss. "On the Turbulent Reduction of Drifts for Solar Energetic Particles." Astrophysical Journal 922, no. 2 (2021): 200. http://dx.doi.org/10.3847/1538-4357/ac2736.

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Abstract Particle drifts perpendicular to the background magnetic field have been proposed by some authors as an explanation for the very efficient perpendicular transport of solar energetic particles (SEPs). This process, however, competes with perpendicular diffusion caused by magnetic turbulence, which can also disrupt the drift patterns and reduce the magnitude of drift effects. The latter phenomenon is well known in cosmic-ray studies, but not yet considered in SEP models. Additionally, SEP models that do not include drifts, especially for electrons, use turbulent drift reduction as a jus
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Degond, Pierre, Florian M�hats, and Christian Ringhofer. "Quantum Energy-Transport and Drift-Diffusion Models." Journal of Statistical Physics 118, no. 3-4 (2005): 625–67. http://dx.doi.org/10.1007/s10955-004-8823-3.

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Glitzky, Annegret. "Analysis of spin-polarized drift-diffusion models." PAMM 8, no. 1 (2008): 10717–18. http://dx.doi.org/10.1002/pamm.200810717.

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Pekkanen, Jami, Oscar Terence Giles, Yee Mun Lee, et al. "Variable-Drift Diffusion Models of Pedestrian Road-Crossing Decisions." Computational Brain & Behavior 5, no. 1 (2021): 60–80. http://dx.doi.org/10.1007/s42113-021-00116-z.

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AbstractHuman behavior and interaction in road traffic is highly complex, with many open scientific questions of high applied importance, not least in relation to recent development efforts toward automated vehicles. In parallel, recent decades have seen major advances in cognitive neuroscience models of human decision-making, but these models have mainly been applied to simplified laboratory tasks. Here, we demonstrate how variable-drift extensions of drift diffusion (or evidence accumulation) models of decision-making can be adapted to the mundane yet non-trivial scenario of a pedestrian dec
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Pekkanen, Jami, Oscar Terence Giles, Yee Mun Lee, et al. "Variable-Drift Diffusion Models of Pedestrian Road-Crossing Decisions." Computational Brain & Behavior 5, no. 1 (2021): 60–80. http://dx.doi.org/10.1007/s42113-021-00116-z.

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AbstractHuman behavior and interaction in road traffic is highly complex, with many open scientific questions of high applied importance, not least in relation to recent development efforts toward automated vehicles. In parallel, recent decades have seen major advances in cognitive neuroscience models of human decision-making, but these models have mainly been applied to simplified laboratory tasks. Here, we demonstrate how variable-drift extensions of drift diffusion (or evidence accumulation) models of decision-making can be adapted to the mundane yet non-trivial scenario of a pedestrian dec
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Langner, M., J. Peinke, F. Flemisch, M. Baumann, and D. Beckmann. "Drift and diffusion based models of driver behavior." European Physical Journal B 76, no. 1 (2010): 99–107. http://dx.doi.org/10.1140/epjb/e2010-00148-8.

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Hübner, Ronald, and Thomas Pelzer. "Improving parameter recovery for conflict drift-diffusion models." Behavior Research Methods 52, no. 5 (2020): 1848–66. http://dx.doi.org/10.3758/s13428-020-01366-8.

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Abstract Several drift-diffusion models have been developed to account for the performance in conflict tasks. Although a common characteristic of these models is that the drift rate changes within a trial, their architecture is rather different. Comparative studies usually examine which model fits the data best. However, a good fit does not guarantee good parameter recovery, which is a necessary condition for a valid interpretation of any fit. A recent simulation study revealed that recovery performance varies largely between models and individual parameters. Moreover, recovery was generally n
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Chau, Edwin, Carolyn A. Murray, and Ladan Shams. "Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks." PeerJ 9 (October 27, 2021): e12273. http://dx.doi.org/10.7717/peerj.12273.

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Studies of accuracy and reaction time in decision making often observe a speed-accuracy tradeoff, where either accuracy or reaction time is sacrificed for the other. While this effect may mask certain multisensory benefits in performance when accuracy and reaction time are separately measured, drift diffusion models (DDMs) are able to consider both simultaneously. However, drift diffusion models are often limited by large sample size requirements for reliable parameter estimation. One solution to this restriction is the use of hierarchical Bayesian estimation for DDM parameters. Here, we utili
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Vinyard, Michael E., Anders W. Rasmussen, Ruitong Li, Luca Pinello, and Gad Getz. "Abstract 5371: Modeling single-cell dynamics using stochastic generative models based on neural differential equations." Cancer Research 83, no. 7_Supplement (2023): 5371. http://dx.doi.org/10.1158/1538-7445.am2023-5371.

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Abstract Hematopoietic malignancies arise from driver alterations acquired during specific, often intermediate and transient, differentiation states. When adequately sampled, “snapshot” single-cell measurements can capture dynamic biological processes, including transient states. While there are effective computational modeling solutions to order and capture the relationships among these cell states (often projecting onto a lower dimensional manifold with directionality), methods to infer the causal gene regulatory mechanisms driving cell state transitions remain limited. Recently, a mathemati
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Anile, A. M., O. Muscato, S. Rinaudo, and P. Vergari. "Testing Hydrodynamical Models on the Characteristics of a One-Dimensional Submicrometer Structure." VLSI Design 6, no. 1-4 (1998): 155–60. http://dx.doi.org/10.1155/1998/63185.

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Recent advances in technology leads to increasing high speed performance of submicrometer electron devices by the scaling of both process and geometry. In order to aid the design of these devices it is necessary to utilize powerful numerical simulation tools. In an industrial environment the simulation codes based on the Drift-Diffusion models have been widely used. However the shrinking dimension of the devices causes the Drift-Diffusion based simulators to become less accurate. Then it is necessary to utilize more refined models (including higher order moments of the distribution function) i
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Dissertations / Theses on the topic "Diffusion drift models"

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Fard, Pouyan R., Hame Park, Andrej Warkentin, Stefan J. Kiebel, and Sebastian Bitzer. "A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230313.

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Perceptual decision making can be described as a process of accumulating evidence to a bound which has been formalized within drift-diffusion models (DDMs). Recently, an equivalent Bayesian model has been proposed. In contrast to standard DDMs, this Bayesian model directly links information in the stimulus to the decision process. Here, we extend this Bayesian model further and allow inter-trial variability of two parameters following the extended version of the DDM. We derive parameter distributions for the Bayesian model and show that they lead to predictions that are qualitatively equivalen
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Lamboll, Robin Davies. "Two-dimensional modelling of novel back-contact solar cells." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/268518.

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This dissertation computationally and analytically investigates ways to model solar cells when the lateral motion of charge carriers and light are relevant. We focus on back-contact perovskite solar cells, and assessing the experimental technique of scanning photocurrent microscopy as a means to investigate them. Solar cells are three-dimensional objects frequently modelled as being one-dimensional. However, for more complex designs of solar cell or if the cell is only point-illuminated, one-dimensional modelling is insufficient. In the first study, some conditions for reducing the complexity
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Demir, Huseyin. "A Process-Based Model for Beach Profile Evolution." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19811.

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Beach profile models predict the changes in bathymetry along a line perpendicular to the shoreline. These models are used to forecast bathymetric changes in response to storms, sea level rise or human activities such as dredging and beach nourishment. Process-based models achieve this by simulating the physical processes that drive the sediment transport as opposed to behavior models which simulate observed profile changes without resolving the underlying processes. Some of these processes are wave shoaling and breaking, boundary layer streaming, and offshore-directed undertow currents. These
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Bottemanne, Laure. "Influence de la motivation liée à autrui sur la décision : corrélats computationnels et magnétoencéphalographiques chez l’Homme." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1257/document.

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L’homme est un animal social. La majorité des décisions que nous prenons se font dans un contexte social et dépendent d’autrui, ce qui implique des calculs cérébraux complexes qui incluent tous les facteurs contextuels et environnementaux. La majorité des études ultérieures de la prise en compte d’autrui dans la décision ont utilisé des tâches de partage de récompenses entre soi et autrui. Les choix possibles amènent le décideur à considérer autrui, mais dans le but de gagner soi-même une récompense ; donc dans un contexte où les récompenses liées à soi et les récompenses liées à autrui sont c
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Luzardo, A. "The Rescorla-Wagner Drift-Diffusion model." Thesis, City, University of London, 2018. http://openaccess.city.ac.uk/19210/.

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Computational models of classical conditioning have made significant contributions to the theoretic understanding of associative learning, yet they still struggle when the temporal aspects of conditioning are taken into account. Interval timing models have contributed a rich variety of time representations and provided accurate predictions for the timing of responses, but they usually have little to say about associative learning. In this thesis we present a unified model of conditioning and timing that is based on the influential Rescorla-Wagner conditioning model and the more recently develo
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Medina, flechas Juan Pablo. "Degradation mechanisms analysis of perovskite solar cells and mini-modules : development of methodologies & phenomenological models." Electronic Thesis or Diss., Institut polytechnique de Paris, 2025. http://www.theses.fr/2025IPPAX015.

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Les cellules solaires à pérovskite (PSC) sont la technologie photovoltaïque émergente, atteignant récemment des rendements en laboratoire supérieurs à 25% et avec une limite pratique de 39% pour les configurations tandem Pérovskite/Silicium. Cependant, leur stabilité reste insuffisante. Plusieurs voies de dégradation ont été observées sous divers facteurs tels que la chaleur, la lumière, le stress mécanique, la polarisation de tension, l'humidité et l'oxygène, entraînant des comportements transitoires lors de la caractérisation courant-tension (JV). Dans des conditions de fonctionnement réelle
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Hemzalová, Zuzana. "Evoluční algoritmy pro ultrazvukovou perfúzní analýzu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442504.

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This thesis deals with the principles of ultrasonic perfusion analysis and methods for determining perfusion parameters. It examines Evolutionary algorithms and their ability to optimize the approximation of dilution curves from ultrasond tissue scannig. It compares the optimization performance of three evolutionary algorithms. Continuous genetic algorithm GA, algorithm SOMA and PSO. Methods are evaluated on simulated and clinical data.
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Alles, Benjamin. "Coupled drift diffusion problems with implicit source functions and their applications." Aachen Shaker, 2008. http://d-nb.info/989623653/04.

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Schmithüsen, Bernhard. "Grid adaptation for the stationary two-dimensional drift-diffusion model in semiconductor device simulation /." Zürich : [s.n.], 2002. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=14449.

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Sonehag, Christian. "Modeling of Ion Injection in Oil-Pressboard Insulation Systems." Thesis, Uppsala universitet, Fasta tillståndets elektronik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-177600.

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To make a High Voltage Direct Current (HVDC) transmission more energy efficient, the voltage of the system has to be increased. To allow for that the components of the system must be constructed to handle the increases AC and DC stresses that this leads to. One key component in such a transmission is the HVDC converter transformer. The insulation system of the transformer usually consists of oil and oil-impregnated pressboard. Modeling of the electric DC field in the insulation system is currently done with the ion drift diffusion model, which takes into account the transport and generation of
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Books on the topic "Diffusion drift models"

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Hänsch, W. The drift diffusion equation and its applications in MOSFET modeling. Springer-Verlag, 1991.

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Hänsch, W. The drift diffusion equation and its applications in MOSFET modeling. Springer-Verlag, 1991.

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Schmithüsen, Bernhard. Grid adaption for the stationary two-dimensional drift diffusion model in semiconductor device simulation. Hartung-Gorre, 2002.

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Ontario. Ministry of Environment and Energy. Draft guideline for preparing a source inventory and dispersion modeling report: Guide for demonstrating compliance with: Section 5 of Regulation 346, General -- Air Pollution R.R.O. 1990 made under the Environmental Protection Act. Ontario Ministry of Environment and Energy, 1997.

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Branch, Ontario Ministry of Environment Approvals. Draft guideline for preparing a source inventory and dispersion modeling report: Guide for demonstrating compliance with: Section 5 of Regulation 346, General--Air Pollution R.R.O. 1990, made under the Environmental Protection Act. Ministry of Environment, Approvals Branch, 1997.

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Figdor, Carrie. Cases. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198809524.003.0003.

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Chapter 3 introduces the use of mathematical models and modeling practices in contemporary biological and cognitive sciences. The familiar Lotka–Volterra model of predator–prey relations is used to explain these practices and show how they promote the extensions of predicates, including psychological predicates, into new and often unexpected domains. It presents two models of cognitive capacities that were developed to explain human behavioral data: Ratcliff’s drift-diffusion model of decision-making and Sutton and Barto’s temporal difference model of reinforcement learning. These are now used
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Zürich, Eidgenössische Technische Hochschule, ed. Grid adaptation for the stationary two-dimensional drift-diffusion model in semiconductor device simulation. 2002.

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Berlin, Mark S. Criminalizing Atrocity. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198850441.001.0001.

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Why do countries adopt criminal legislation making it possible to prosecute government and military officials for human rights violations? Over the past thirty years, dozens of countries have prosecuted their own or other states’ officials for past atrocities. Criminalizing Atrocity tells the story of the global spread of national criminal laws against atrocity crimes—genocide, war crimes, and crimes against humanity—laws that have helped pave the way for this remarkable trend toward greater accountability. It traces the early-twentieth-century origins of national atrocity laws to a group of i
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Book chapters on the topic "Diffusion drift models"

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Farrell, Patricio, Nella Rotundo, Duy Hai Doan, Markus Kantner, Jürgen Fuhrmann, and Thomas Koprucki. "Drift-Diffusion Models." In Handbook of Optoelectronic Device Modeling and Simulation. CRC Press, 2017. http://dx.doi.org/10.4324/9781315152318-25.

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Jerome, Joseph W. "Development of Drift-Diffusion Models." In Analysis of Charge Transport. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-79987-7_2.

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Schwarz, Wolf. "Diffusion with Drift: The Wiener Process." In Random Walk and Diffusion Models. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12100-5_4.

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Kubilius, Kęstutis, Yuliya Mishura, and Kostiantyn Ralchenko. "Drift Parameter Estimation in Diffusion and Fractional Diffusion Models." In Bocconi & Springer Series. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71030-3_5.

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Kerkhoven, Thomas. "Drift-Diffusion Systems: Analysis of Discretized Models." In Computational Electronics. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4757-2124-9_3.

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Chalub, Fabio A. C. C., Peter A. Markowich, Benoît Perthame, and Christian Schmeiser. "Kinetic Models for Chemotaxis and their Drift-Diffusion Limits." In Nonlinear Differential Equation Models. Springer Vienna, 2004. http://dx.doi.org/10.1007/978-3-7091-0609-9_10.

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Jerome, Joseph W. "Algorithmic Aspects of the Hydrodynamic and Drift-Diffusion Device Models." In Mathematical Modelling and Simulation of Electrical Circuits and Semiconductor Devices. Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-5698-0_16.

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Mielke, Alexander, Dirk Peschka, Nella Rotundo, and Marita Thomas. "On Some Extension of Energy-Drift-Diffusion Models: Gradient Structure for Optoelectronic Models of Semiconductors." In Progress in Industrial Mathematics at ECMI 2016. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63082-3_45.

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Jerome, Joseph W. "Drift-Diffusion Systems: Variational Principles and Fixed Point Maps for Steady State Semiconductor Models." In Computational Electronics. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4757-2124-9_2.

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Hu, Ruiao, and Stuart Patching. "Variational Stochastic Parameterisations and Their Applications to Primitive Equation Models." In Mathematics of Planet Earth. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_9.

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AbstractWe present a numerical investigation into the stochastic parameterisations of the Primitive Equations (PE) using the Stochastic Advection by Lie Transport (SALT) and Stochastic Forcing by Lie Transport (SFLT) frameworks. These frameworks were chosen due to their structure-preserving introduction of stochasticity, which decomposes the transport velocity and fluid momentum into their drift and stochastic parts, respectively. In this paper, we develop a new calibration methodology to implement the momentum decomposition of SFLT and compare with the Lagrangian path methodology implemented
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Conference papers on the topic "Diffusion drift models"

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Zhang, S., A. Alvarez Laguna, and J. P. Booth. "Drift-Diffusion models for RF-CCPs at intermediate pressure: estimating transport coefficients." In 2024 IEEE International Conference on Plasma Science (ICOPS). IEEE, 2024. http://dx.doi.org/10.1109/icops58192.2024.10626561.

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Liu, Sixing, Yi Jiang, Zhichao Wu, Linyu Yao, and Qun Yang. "Drift-DiffuSE: Diffusion Model with Learnable Drift Term for Speech Enhancement." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650489.

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Kim, Kyeyeop, Sanghoon Myung, Yunji Choi, et al. "Neural Drift-Diffusion Model Based on Operator Learning in Fourier Space." In 2024 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD). IEEE, 2024. http://dx.doi.org/10.1109/sispad62626.2024.10733127.

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Pham, A. T., M. A. Pourghaderi, S. Jin, et al. "Tunneling quantum correction potential model for drift-diffusion simulations of Schottky contact resistance." In 2024 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD). IEEE, 2024. http://dx.doi.org/10.1109/sispad62626.2024.10733338.

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Freire, Teofilo Cobos, Souvik Mahapatra, and Alexander L. Shluger. "Atomistic Simulation of Defect Processes Involved in the Reaction-Diffusion-Drift Model of NBTI." In 2024 IEEE International Integrated Reliability Workshop (IIRW). IEEE, 2024. https://doi.org/10.1109/iirw62856.2024.10947139.

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Feijoo, Pedro C., Ferney A. Chaves, and David Jiménez. "Recombination Time in Drift-Diffusion Models of Graphene Field-Effect Transistors." In 2023 14th Spanish Conference on Electron Devices (CDE). IEEE, 2023. http://dx.doi.org/10.1109/cde58627.2023.10339472.

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Wang, Shu, and Ke Wang. "Quasi-neutral Limit of the Drift-Diffusion Models for Semiconductors with PN-Junctions." In 2009 Fifth International Conference on Natural Computation. IEEE, 2009. http://dx.doi.org/10.1109/icnc.2009.361.

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Pisarenko, I. V., and E. A. Ryndin. "Development of drift-diffusion numerical models of high-speed on-chip photodetectors with heterojunctions." In The International Conference on Micro- and Nano-Electronics 2016, edited by Vladimir F. Lukichev and Konstantin V. Rudenko. SPIE, 2016. http://dx.doi.org/10.1117/12.2266628.

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Salem, Ali F., Arlynn W. Smith, and Kevin F. Brennan. "Comparison of hydrodynamic and drift diffusion models as applied to interdigitated metal-semiconductor-metal photodetectors." In SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Kathleen Muray and Kenneth J. Kaufmann. SPIE, 1995. http://dx.doi.org/10.1117/12.221405.

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Richardson, Giles, Nicola Courtier, Laurence Bennett, Juan Anta, and Antonio Exposito. "Using Drift-Diffusion Models as a Tool to Probe the Physics of Perovskite Solar Cells." In 2nd nanoGe International Conference on Perovskite Thin Film Photovoltaics and Perovskite Photonics and Optoelectronics. Fundació Scito, 2019. http://dx.doi.org/10.29363/nanoge.nipho.2020.032.

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Reports on the topic "Diffusion drift models"

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Tan, Cheng-Yan. A simple drift-diffusion model for calculating the neutralization time of H- in xe gas for choppers placed in the LEBT. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/974354.

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