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相关论文: Screening of potential double perovskite materials…

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The optimization of properties of perovskite oxides has drawn interest on account of their diverse areas of application. In this work, the hierarchical clustering technique is used to reduce the multi-collinearity among selected features…

材料科学 · 物理学 2022-03-01 George Stephen Thoppil , Alankar Alankar

In this work, we propose a method of selecting the most desirable combinations of material for a perovskite solar cell design utilizing the genetic algorithm. Solar cells based on the methylammonium lead halide, CH3NH3PbX3, attract…

材料科学 · 物理学 2020-11-17 Eungkyun Kim , Indranil Bhattacharya

Hybrid peroskite solar cells are newly emergent high-performance photovoltaic devices, which suffer from disadvantages such as toxic elements, short-term stabilities, and so on. Searching for alternative perovskites with high photovoltaic…

材料科学 · 物理学 2023-08-02 Linkang Zhan , Danfeng Ye , Xinjian Qiu , Yan Cen

Lead-based perovskite solar cells have reached high efficiencies, but toxicity and lack of stability hinder their wide-scale adoption. These issues have been partially addressed through compositional engineering of perovskite materials, but…

材料科学 · 物理学 2025-06-09 Henrietta Homm , Jarno Laakso , Patrick Rinke

The large-scale search for high-performing candidate 2D materials is limited to calculating a few simple descriptors, usually with first-principles density functional theory calculations. In this work, we alleviate this issue by extending…

材料科学 · 物理学 2020-07-07 Victor Venturi , Holden Parks , Zeeshan Ahmad , Venkatasubramanian Viswanathan

Renewable energy sources are of great interest to combat global warming, yet promising sources like photovoltaic (PV) cells are not efficient and cheap enough to act as an alternative to traditional energy sources. Perovskite has high…

We developed a high-throughput screening scheme to acquire candidate coating materials for hybrid perovskites. From more than 1.8 million entries of an inorganic compound database, we collected 93 binary and ternary materials with promising…

应用物理 · 物理学 2019-03-05 Azimatu Seidu , Lauri Himanen , Jingrui Li , Patrick Rinke

Chalcogenide perovskites have emerged as promising absorber materials for next-generation photovoltaic devices, yet their experimental realization remains limited by competing phases, structural polymorphism, and synthetic challenges. Here,…

材料科学 · 物理学 2026-04-15 Diego A. Garzón , Lauri Himanen , Luisa Andrade , Sascha Sadewasser , José A. Márquez

Perovskite solar cells are promising candidates for next-generation photovoltaics. However, their performance as multi-scale devices is determined by complex interactions between their constituent layers. This creates a vast combinatorial…

机器学习 · 计算机科学 2025-11-25 Lucas Li , Jean-Baptiste Puel , Florence Carton , Dounya Barrit , Jhony H. Giraldo

The significant surge in energy use and escalating environmental concerns have sparked worldwide interest towards the study and implementation of solar cell technology. Perovskite solar cells (PSCs) have garnered remarkable attention as an…

材料科学 · 物理学 2025-06-23 Md Yekra Rahman , Sharif Mohammad Mominuzzaman

The application of machine learning in materials presents a unique challenge of dealing with scarce and varied materials data - both experimental and theoretical. Nevertheless, several state-of-the-art machine learning models for materials…

Perovskite solar cells (PSCs) are attracting great attention as the most promising candidate for the next generation solar cells. This is due to their low cost and high power conversion efficiency in spite of their relatively short period…

应用物理 · 物理学 2018-11-05 Chol-Jun Yu

Lead-free halide double perovskites are promising stable and non-toxic alternatives to methylammonium lead iodide in the field of photovoltaics. In this context, the most commonly used double perovskite is Cs$_2$AgBiBr$_6$, due to its…

材料科学 · 物理学 2022-08-29 Elisabetta Landini , Karsten Reuter , Harald Oberhofer

Solar-energy plays an important role in solving serious environmental problems and meeting high-energy demand. However, the lack of suitable materials hinders further progress of this technology. Here, we present the largest inorganic…

材料科学 · 物理学 2019-12-17 Kamal Choudhary , Marnik Bercx , Jie Jiang , Ruth Pachter , Dirk Lamoen , Francesca Tavazza

The material class of hybrid organic-inorganic perovskites has risen rapidly from a virtually unknown material in photovoltaic applications a short 7 years ago into a ~20% efficient thin-film solar cell material. As promising as this class…

材料科学 · 物理学 2017-05-29 Dongwen Yang , Jian Lv , Xingang Zhao , Qiaoling Xu , Yuhao Fu , Yiqiang Zhan , Alex Zunger , Lijun Zhang

To obtain significant increases in the Power Conversion Efficiency (PCE) of solar cells, future cell research and development should be based on the concomitant improvement of multiple material properties, rather than on the…

应用物理 · 物理学 2021-08-11 Manfred Georg Kratzenberg , Ricardo Ruther , Carlos Renato Rambo

Perovskites are promising next-generation absorber materials for low-cost and high-efficiency solar cells. Although perovskite cells are configured similar to the classical solar cells, their operation is unique and requires development of…

介观与纳米尺度物理 · 物理学 2018-02-01 Xingshu Sun , Reza Asadpour , Wanyi Nie , Aditya D. Mohite , Muhammad A. Alam

As a pioneer of the third-generation photovoltaic revolution, Perovskite Solar Cells (PSCs) are renowned for their superior optoelectronic performance and cost potential. The development process of PSCs is precise and complex, involving a…

多智能体系统 · 计算机科学 2026-02-17 Yishu Wang , Wei Liu , Yifan Li , Shengxiang Xu , Xujie Yuan , Ran Li , Yuyu Luo , Jia Zhu , Shimin Di , Min-Ling Zhang , Guixiang Li

Conjugated organic molecules represent an important area of materials chemistry for both fundamental scientific exploration and technological applications. Using a genetic algorithm to computationally screen up to ~25-50 million molecules…

应用物理 · 物理学 2017-07-14 Ilana Y. Kanal , Geoffrey R. Hutchison

This paper presents a non-invasive approach to estimate the layer thicknesses of perovskite solar cells. The thicknesses are predicted by a convolutional neural network that leverages the external quantum efficiency of a perovskite solar…

计算机视觉与模式识别 · 计算机科学 2025-03-14 Junhao Wang
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