Drift Diffusion Modeling of Solar Cells

2010 ◽  
Author(s):  
Balaji Padmanabhan ◽  
Ashwin Ashok ◽  
Dragica Vasileska ◽  
Y.-H. Zhang ◽  
Marília Caldas ◽  
...  
Keyword(s):  
Solar Cells ◽  
Diffusion Modeling ◽  
Drift Diffusion

Analytical drift-diffusion modeling of GaAs solar cells incorporating a back mirror

2013 ◽  
Author(s):  
Matthew P. Lumb ◽  
Christopher G. Bailey ◽  
Jessica G. J. Adams ◽  
Glen Hillier ◽  
Francis Tuminello ◽  
...  
Keyword(s):  
Solar Cells ◽  
Diffusion Modeling ◽  
Drift Diffusion

scholarly journals Understanding the impact of C60 at the interface of perovskite solar cells via drift-diffusion modeling

AIP Advances ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 035026 ◽  
Author(s):  
Timofey Golubev ◽  
Dianyi Liu ◽  
Richard Lunt ◽  
Phillip Duxbury
Keyword(s):  
Solar Cells ◽  
Perovskite Solar Cells ◽  
Diffusion Modeling ◽  
Drift Diffusion ◽  
The Impact

Drift-diffusion modeling of InP-based triple junction solar cells

2013 ◽  
Author(s):  
M. P. Lumb ◽  
M. González ◽  
C. G. Bailey ◽  
I. Vurgaftman ◽  
J. R. Meyer ◽  
...  
Keyword(s):  
Solar Cells ◽  
Triple Junction ◽  
Diffusion Modeling ◽  
Drift Diffusion

Incorporating photon recycling into the analytical drift-diffusion model of high efficiency solar cells

2014 ◽  
Vol 116 (19) ◽  
pp. 194504 ◽  
Author(s):  
Matthew P. Lumb ◽  
Myles A. Steiner ◽  
John F. Geisz ◽  
Robert J. Walters
Keyword(s):  
Solar Cells ◽  
Diffusion Model ◽  
High Efficiency ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
High Efficiency Solar Cells ◽  
Photon Recycling

scholarly journals The neural computation of human goal-directed behaviors in complex motivational states

2019 ◽  
Author(s):  
Anne Saulin ◽  
Ulrike Horn ◽  
Martin Lotze ◽  
Jochen Kaiser ◽  
Grit Hein
Keyword(s):  
Prosocial Behavior ◽  
Dorsal Striatum ◽  
Neural Computation ◽  
Diffusion Modeling ◽  
Neural Responses ◽  
Drift Diffusion ◽  
Social Motives ◽  
Behavioral Choice ◽  
Motivational States ◽  
Choice Option

AbstractBecause the motives behind goal-directed behaviors are often complex, most behaviors result from the interplay between different motives. However, it is unclear how this interplay between multiple motives affects the neural computation of goal-directed behaviors. Using a combination of drift-diffusion modeling and fMRI, we show that the interplay between different social motives changes initial preferences for prosocial behavior before a person makes a behavioral choice. This increase in preferences for the prosocial choice option was tracked by neural responses in the bilateral dorsal striatum, which in turn lowered the amount of information necessary for choosing prosocial behavior. We obtained these results using a paradigm in which each participant performed the same behavior based on different, simultaneously activated motives, or based on each of the motives separately. Thus, our findings provide a model of behavioral choice computation in complex motivational states, i.e., the motivational setting that drives most goal-directed human behaviors.

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