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NURBS-based microstructure design for organic photovoltaics

机译:基于NURBS的有机光伏基于微观结构设计

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The microstructure - spatial distribution of electron donor and acceptor domains - plays an important role in determining the photo current in thin film organic solar cells (OSCs). Optimizing the microstructure can lead to higher photo current generation, and is an active area of experimental research. There has been recent progress in framing OSC microstructure design as a computational design problem. However, most current approaches to microstructure optimization are based on volumetric distribution of material, which makes the design space very large. In contrast, we frame the microstructure design optimization problem in terms of designing the interface between the donor and acceptor regions, and thus pose it as a surface representation and optimization problem. This results in substantially reduced number of design variables, thus enabling use of standard optimization tools. In this work, we address the efficient design of OSC microstructure by using surface and curve modeling techniques to model the donor-acceptor interface, and use meta-heuristic, gradient-free optimization techniques to optimize the microstructure for maximum short circuit current generation. Our modeling framework consists of three major components: (1) geometric modeling of OSC microstructure that uses Non-Uniform Rational B-spline (NURBS) curves and surfaces to construct the free-form donor-acceptor interface, (2) photo-current generation modeling that uses a parallel, finite-element based exciton-drift-diffusion (XDD) model, and (3) optimization that utilizes genetic algorithms (GA) to optimize the OSCs microstructure via exploration of the NURBS representation. We apply these methods for the optimization of both 2D and 3D microstructures. Results show substantial improvement in current density compared to the bulk-heterojunction microstructures. These results provide promising microstructures for experimental groups to fabricate. The proposed surface representation approach seems to be a promising approach for interface design in engineered systems. (C) 2019 Elsevier Ltd. All rights reserved.
机译:电子给体和受体结构域的微观结构 - 空间分布 - 在确定薄膜有机太阳能电池(OSC)中的光电流中起着重要作用。优化微观结构可导致更高的光电流产生,并且是实验研究的有源区。框架OSC微观结构设计近期进展作为计算设计问题。然而,大多数流动系统优化方法都基于材料的体积分布,这使得设计空间非常大。相比之下,我们在设计施主和受体区域之间的界面方面框架微观结构设计优化问题,从而将其构成为表面表示和优化问题。这导致基本上减少的设计变量数量,从而能够使用标准优化工具。在这项工作中,我们通过使用表面和曲线建模技术来解决OSC微结构的高效设计,以模拟施主接口,并使用元启发式,无梯度优化技术来优化最大短路电流产生的微观结构。我们的建模框架由三个主要组件组成:(1)OSC微观结构的几何建模,其使用非均匀Rational B样条(NURBS)曲线和表面构建自由形式供体接口,(2)光电流发电使用并行的基于元素的激子漂移 - 扩散(XDD)模型的建模和(3)优化,其利用遗传算法(GA)通过探索NURBS表示来优化OSCS微观结构。我们应用这些方法,以优化2D和3D微结构。结果表明,与散装异质结微观结构相比,电流密度的显着提高。这些结果提供了用于制造实验组的有希望的微观结构。所提出的表面表示方法似乎是工程系统中的界面设计的有希望的方法。 (c)2019年elestvier有限公司保留所有权利。

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