Research Blogs

Setfos modeling of halide perovskite solar cells with focus on their mixed ionic-electronic conducting properties: a step-by-step tutorial

Learn how to create a realistic digital twin of a halide perovskite solar cell using Fluxim’s Setfos. This step-by-step guide explains how to combine Paios measurements with drift-diffusion and optical modeling to capture ionic migration, hysteresis, and impedance behavior—helping researchers link device physics to performance and stability.

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Multi-Stack OLED Simulation with Setfos and Laoss – Automotive OLEDs, Lighting, Microdisplays

Learn how OLEDWorks uses Fluxim’s Setfos and Laoss to develop high-performance multi-stack OLEDs for automotive lighting, microdisplays, and sustainable lighting solutions. Includes simulation strategies, case studies, and performance outcomes.

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Investigating Current Matching and Hysteresis in Perovskite-Silicon Tandem Solar Cells with Drift-Diffusion Simulations

Perovskite-silicon tandem solar cells are revolutionizing photovoltaics, but optimizing current matching between layers is critical for achieving peak efficiency. A mismatch can lead to power losses, limiting overall performance. In this blog, we explore how optical and electrical simulations help fine-tune device design, ensuring both sub-cells generate maximum power.

Discover how precise modeling can boost tandem cell efficiency and accelerate the path to commercialization.

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How to correctly simulate the EQE of an organic tandem solar cell using full optoelectronic simulations 

Learn how to accurately simulate the external quantum efficiency (EQE) of organic tandem solar cells with full optoelectronic models in SETFOS. Explore optical and electrical setups, EQE measurement techniques, and design optimizations.

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Space Charge Limited Current (SCLC) and Charge Carrier Mobility in Organic Semiconductors

Discover how charge carrier mobility is measured in organic and perovskite semiconductors. This guide explains the Space Charge Limited Current (SCLC) method, with its key advantages, limitations, and applications.

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A Tutorial on Drift-Diffusion simulations

This tutorial introduces the fundamental drift-diffusion equations used to simulate charge transport and recombination in OLEDs, photodetectors, and solar cells. As a case study, we analyze the response speed of narrowband organic optical upconversion devices (OUCs), highlighting how mobility and recombination processes affect device performance.

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Perovskite Solar Cell Upscaling Prediction

The monolithic module design is a suitable solution to upscale the lateral dimensions of perovskite solar cells. The device's active area is divided into smaller cells with an interconnection gap. The narrower the subcell, the lower the resistance of each subcell with consequent improvement of the FF. However, the interconnecting gap between each subcell is an inactive area, that reduces the total efficiency of the module. The interconnection is composed of lines P1, P2, and P3, which respectively separate the TCO, the photoactive layer, and the top contact between consecutive subcells.

We used the simulation software Laoss to optimize a perovskite photovoltaic minimodule. This procedure can replace the standard experimental trial-and-error approach that is commonly used to upscale perovskite solar cells.

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Current Losses Caused by Mobile Ions in Perovskite Solar Cells

The presence of ions limits the charge extraction in perovskite solar cells, causing current losses. We used drift-diffusion simulation to validate this hypothesis and propose solutions to limit their influence – hence optimizing the power conversion efficiency (PCE).

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Quantification of trap states by thermally stimulated current in thin film solar cells

The performance of light-emitting (LEDs) and photovoltaic (PV) devices depends on the quality of the photoactive semiconductor material. The unintentional introduction of defects in the semiconductor material due to material impurities or during the fabrication process causes the deviation from optimal performance.

These defects are referred to as trap states, or in short “traps”, which are energetic states within the bandgap of a semiconductor. In general, traps can occur due to material impurities (in the bulk) or at the interfaces between layers of different materials.

In the following blog post, we will present how to characterize the trap states with the technique called thermally stimulated current (TSC). We also propose a method to reliably interpret the TSC results based on drift-diffusion simulations.

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Influence of recombination rates on transient photoluminescence and efficiency of TADF OLEDs

OLEDs made by thermally-activated delayed fluorescence (TADF) materials as emitters promise an IQE of 100%. Here, we want to present an analysis of the influence of non-radiative recombination rates (knrs and knrt) on the device efficiency as well as how to determine them from experiments. As we will see, the knr rate influences PLQY, and consequently ELQY, hence the negative impact on EQE.
First, to determine the non-radiative decay rates, we need to extract the rates kf, krisc, and kisc by fitting transient photoluminescence (trPL) measurements of TADF films.

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Grid Optimization for Maximum Power Output of Large-area Organic Solar Cells

It is challenging to increase the device area of optoelectronic devices based on perovskite and organic materials without losing performance. One of the key issues is the high sheet resistance (Rs) of the transparent conductive oxide (TCO). Combining the TCO with a metallic grid reduces the ohmic losses, but what is the grid geometry that maximizes performance?

In this tutorial, we will show you, how to use the simulation software Laoss and its optimization feature to quickly find the grid geometrical features for maximum power output.

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Impact of Photon Recycling on the Efficiency of Light Extraction in Metal Halide Perovskite Light Emitting Diodes

We introduced a theoretical treatment of photon emission and recycling in optoelectronic semiconductor devices that is free of non-physical divergencies. Here, we now show the application of this framework to the assessment of the impact of PR on the light extraction efficiency in perovskite LEDs. This treatment goes from the analysis of contributing photonic modes in single emitter slab configurations to the evaluation of the external LED quantum efficiency in realistic device stacks.

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