Development of carrier transport and exciton diffusion model for OLEDs by considering tail states model and triplet conversion at hetero-interface (Conference Presentation)

2020 ◽  
Author(s):  
Yuh-Renn Wu ◽  
Jun-Yu Huang ◽  
Mei-Tan Wang ◽  
Guan-Yu Chen ◽  
Jung-Yu Li ◽  
...  
Keyword(s):  
Diffusion Model ◽  
Carrier Transport ◽  
Exciton Diffusion

An Application-Driven Improvement of the Drift–Diffusion Model for Carrier Transport in Decanano-Scaled CMOS Devices

2008 ◽  
Vol 55 (11) ◽  
pp. 3227-3235 ◽  
Author(s):  
Christian Kampen ◽  
Alexander Burenkov ◽  
JÜrgen Lorenz ◽  
Heiner Ryssel ◽  
ValÉrie Aubry-Fortuna ◽  
...  
Keyword(s):  
Diffusion Model ◽  
Carrier Transport ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
Scaled Cmos

Charge-carrier transport and triplet exciton diffusion in a blue electrophosphorescent emitting layer

2005 ◽  
Vol 97 (12) ◽  
pp. 123512 ◽  
Author(s):  
Noriyuki Matsusue ◽  
Satoshi Ikame ◽  
Yuichiro Suzuki ◽  
Hiroyoshi Naito
Keyword(s):  
Charge Carrier ◽  
Carrier Transport ◽  
Triplet Exciton ◽  
Charge Carrier Transport ◽  
Exciton Diffusion

Comparison of drift–diffusion model and hydrodynamic carrier transport model for simulation of GaN-based IMPATT diodes

2019 ◽  
Vol 33 (13) ◽  
pp. 1950156 ◽  
Author(s):  
Xiusheng Li ◽  
Lin’an Yang ◽  
Xiaohua Ma
Keyword(s):  
Electric Field ◽  
Diffusion Model ◽  
Carrier Transport ◽  
Impact Ionization ◽  
Transport Model ◽  
Relaxation Effect ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
Impatt Diode ◽  
The Impact

This paper presents a numerical simulation of a Wurtzite-GaN-based IMPATT diode operating at the low-end frequency of terahertz range. Conventional classical drift–diffusion model is independent of the energy relaxation effect at high electric field. However, in this paper, a hydrodynamic carrier transport model including a new energy-based impact ionization model is used to investigate the dc and high-frequency characteristics of an IMPATT diode with a traditional drift–diffusion model as comparison. Simulation results show that the maximum rf power density and the dc-to-rf conversion efficiency are larger for conventional drift–diffusion model because it overestimates the impact ionization rate. Through hydrodynamic simulation we revealed that the impact ionization rates are seriously affected by the high and rapidly varied electric field and the electron energy relaxation effect, which lead to the rf output power density and the dc-to-rf conversion efficiency falls gradually, and a wider operation frequency band is obtained compared with the drift–diffusion model simulation at frequencies over 310 GHz.

A new lithium diffusion model in layered oxides based on asymmetric but reversible transition metal migration

2020 ◽  
Vol 13 (4) ◽  
pp. 1269-1278 ◽  
Author(s):  
Kyojin Ku ◽  
Byunghoon Kim ◽  
Sung-Kyun Jung ◽  
Yue Gong ◽  
Donggun Eum ◽  
...  
Keyword(s):  
Transition Metal ◽  
Diffusion Model ◽  
Layered Oxides ◽  
Layered Oxide ◽  
Reversible Transition ◽  
Lithium Diffusion ◽  
Metal Migration

We propose a new lithium diffusion model involving coupled lithium and transition metal migration, peculiarly occurring in a lithium-rich layered oxide.

Does the Name-Race Implicit Association Test Measure Racial Prejudice?

2011 ◽  
Vol 58 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Don van Ravenzwaaij ◽  
Han L. J. van der Maas ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Diffusion Model ◽  
Implicit Association Test ◽  
Alternative Explanation ◽  
Group Membership ◽  
Racial Prejudice ◽  
Decision Time ◽  
Association Test ◽  
Implicit Association ◽  
Model Decomposition ◽  
Test Measure

Research using the Implicit Association Test (IAT) has shown that names labeled as Caucasian elicit more positive associations than names labeled as non-Caucasian. One interpretation of this result is that the IAT measures latent racial prejudice. An alternative explanation is that the result is due to differences in in-group/out-group membership. In this study, we conducted three different IATs: one with same-race Dutch names versus racially charged Moroccan names; one with same-race Dutch names versus racially neutral Finnish names; and one with Moroccan names versus Finnish names. Results showed equivalent effects for the Dutch-Moroccan and Dutch-Finnish IATs, but no effect for the Finnish-Moroccan IAT. This suggests that the name-race IAT-effect is not due to racial prejudice. A diffusion model decomposition indicated that the IAT-effects were caused by changes in speed of information accumulation, response conservativeness, and non-decision time.

Impact of Context Information on Metaphor Elaboration

2018 ◽  
Vol 65 (6) ◽  
pp. 370-384 ◽  
Author(s):  
Veronika Lerche ◽  
Ursula Christmann ◽  
Andreas Voss
Keyword(s):  
Diffusion Model ◽  
Processing Speed ◽  
A Priori ◽  
Model Fit ◽  
Verbal Task ◽  
Context Information ◽  
Speed Of Processing ◽  
Good Account ◽  
Dependent Variables ◽  
Decision Settings

Abstract. In experiments by Gibbs, Kushner, and Mills (1991) , sentences were supposedly either authored by poets or by a computer. Gibbs et al. (1991) concluded from their results that the assumed source of the text influences speed of processing, with a higher speed for metaphorical sentences in the Poet condition. However, the dependent variables used (e.g., mean RTs) do not allow clear conclusions regarding processing speed. It is also possible that participants had prior biases before the presentation of the stimuli. We conducted a conceptual replication and applied the diffusion model ( Ratcliff, 1978 ) to disentangle a possible effect on processing speed from a prior bias. Our results are in accordance with the interpretation by Gibbs et al. (1991) : The context information affected processing speed, not a priori decision settings. Additionally, analyses of model fit revealed that the diffusion model provided a good account of the data of this complex verbal task.

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