MétaCan
Menu
Back to cohort
Record W2606336424 · doi:10.1149/ma2017-01/45/2049

Effect of the Metal-Organic Interfaces in Analytical Modeling of Organic Solar Cells

2017· article· en· W2606336424 on OpenAlexaff
J. A. Jiménez-Tejada, Pilar López-Varo, Ognian Marinov, C. H. Chen, M. Jamal Deen

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOrganic solar cellOpen-circuit voltageVoltageRenewable energyComputational physicsCurrent densityPhotovoltaic systemOptoelectronicsMaterials sciencePhysicsEngineering physicsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

Solar cells offer a clean, renewable energy source because of the huge amount of solar energy received on earth from the sun. Organic solar cells are a viable technology to capture the solar radiation because of many advantages including light weight, flexibility, ability to adapt to a variety of surfaces such as roofs, and simple and low manufacturing costs [1]. However, for large scale manufacturing of organic solar cells with predictable performance, accurate physics-based engineering models are needed. Therefore, in this paper, we propose an analytical model to describe the current-voltage characteristics of organic bulk heterojunction (BHJ) solar cells. The model includes boundary conditions for the free charge density at the interfaces, expressed as a power function of the current density [2]. As the interfaces control the injected and the extracted current density, these boundary conditions play an important role in the determination of key parameters such as the open-circuit voltage V oc or the short-circuit current J sh . The model uses a previously developed idea of analytically solving the drift-diffusion equations for organic BHJ solar cells in which different assumptions are made. In particular, physical variables, such as the electric field, the charge carrier mobility, the generation rate, and the bimolecular recombination rate are considered uniform along the device for each applied voltage [3]. Despite this common starting point with other analytical expressions, our proposal solves different problems that still persist in previous analytical models, such as the use of constant boundary values for the electron and hole densities at the metal-organic interfaces [3-4] or the need of developing a previous numerical solution of the transport equations in order to provide initial guess values for some of the variables found in these equations [3]. In previous works, we demonstrated that non-constant values for the electron and hole densities at the interfaces of organic devices are required for the interpretation of current-voltage J-V curves [5-6]. In single-carrier metal-organic contacts under drift-dominated transport, we observe that the charge concentration at the interface, p (0), due to injection, follows a power-law function of the current density. This boundary condition for the charge density keeps information about the limited recombination velocity at the contacts and the contribution from space charge limited conduction (SCLC) in the bulk. In diffusion-dominated transport, at low bias close to the diode's built-in voltage, the charge density at the contact is almost constant with the current. The complete relation between charge and current for injecting electrodes, extracted from the analysis of single-carrier diodes, can be used as boundary condition in bipolar devices, which are the basis of organic solar cells [2]. In this work, we have incorporated our power law relation p (0)- J in the analytical expression of the J-V characteristics of organic solar cells (OSCs). Incorporating of the power law relation p (0)- J in the analytical expression adds information about the interfaces. Nevertheless, it introduces new parameters into the model. A parameter extraction procedure is also provided in order to fully characterize the J-V characteristics of OSCs. We have tested the expression in OSCs in dark and under illumination. We have checked that the use of non-constant values for the free charge density at the interfaces is especially important close to the V oc and in the high voltage region. In the low voltage region, a parasitic shunt resistance must be added in order to consider recombination losses. Finally, a complete verification of the parameter extraction procedure is done. This work has been supported by MINECO under research Project MAT2016-76892-C3-3-R. [1] M.J. Deen, “ Organic Semiconductor Devices ,” Wiley Encyclopedia of Electrical and Electronics Engineering, Editor, J.G. Webster, John Wiley and Sons, Inc., 17 pp (Published on-line 15 Dec 2014). [2] P. López-Varo, J.A. Jiménez-Tejada, O. Marinov, C.H. Chen, M.J. Deen, Org. Electron. , 35, 74 (2016). [3] Inche Ibrahim, M. L.; Ahmad, Z. and Sulaiman, K. AIP Advances, 5, 027115 (2015). [4] A. Cheknane, et al. Microelectron. J. , 39, 1173 (2008). [5] P. López-Varo, J.A. Jiménez Tejada, J.A. López Villanueva, M J. Deen, Org. Electron ., 15, 2526 (2014). [6] P. López-Varo, J.A. Jiménez Tejada, J.A. López Villanueva, M.J. Deen, Org. Electron ., 15, 2536 (2014).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.281
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueECS Meeting AbstractsSame topicConducting polymers and applicationsFrench-language works237,207