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相关论文: Perovskite-R1: a domain-specialized large language…

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The rapid advancement of perovskite solar cells (PSCs) has led to an exponential growth in research publications, creating an urgent need for efficient knowledge management and reasoning systems in this domain. We present a comprehensive…

Perovskite solar cells (PSCs) have been considered as a next-generation disruptive photovoltaic technology, yet their advancement is constrained by the complexity of perovskite recipe with high-dimensional material and process design space.…

Efficient discovery of precursor additives is essential for improving the performance of perovskite solar cells, yet the large chemical space makes conventional trial-and-error screening inefficient. We develop LEAP(LLM-driven Exploration…

机器学习 · 计算机科学 2026-05-21 Xin-De Wang , Zhi-Rui Chen , Ze-Feng Gao , Peng-Jie Guo , Cheng Mu , Zhong-Yi Lu

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

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

Perovskite solar cells (PSCs) offer an efficient, inexpensive alternative to current photovoltaic technologies, with the potential for manufacture via high-throughput coating methods. However, challenges for commercial-scale…

The discovery of effective molecular modulators is essential for advancing perovskite solar cells (PSCs), but the research process is hindered by the vastness of chemical space and the time-consuming and expensive trial-and-error…

Machine learning (ML) has been extensively employed in planar perovskite photovoltaics to screen effective organic molecular additives, while encountering predictive biases for novel materials due to small datasets and reliance on…

机器学习 · 计算机科学 2024-12-19 Yang Pu , Zhiyuan Dai , Yifan Zhou , Ning Jia , Hongyue Wang , Yerzhan Mukhametkarimov , Ruihao Chen , Hongqiang Wang , Zhe Liu

Perovskite photovoltaics (PV) have achieved rapid development in the past decade in terms of power conversion efficiency of small-area lab-scale devices; however, successful commercialization still requires further development of low-cost,…

Perovskite solar cells (PSCs) have experienced a remarkable rise in power conversion efficiency (PCE) over the past 15 years, positioning them as a promising alternative or complement to silicon for large-scale photovoltaic deployment.…

The investigation of emerging non-toxic perovskite materials has been undertaken to advance the fabrication of environmentally sustainable lead-free perovskite solar cells. This study introduces a machine learning methodology aimed at…

Rational design of interface passivators for perovskite solar cells is hindered by the entanglement of intrinsic molecular efficacy with extrinsic platform-dependent performance - a confounding factor that obscures true chemical advances.…

材料科学 · 物理学 2026-03-04 Jing Zhang , Ziyuan Li , Shan Gao , Zhen Zhu , Jing Wang , Xiangmei Duan

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

Hybrid organic-inorganic halide perovskites have emerged as a disruptive new class of materials, exhibiting optimum properties for a broad range of optoelectronic applications, most notably for photovoltaics. The first report of highly…

材料科学 · 物理学 2018-08-21 Marina R. Filip , George Volonakis , Feliciano Giustino

Retrosynthesis planning, essential in organic synthesis and drug discovery, has greatly benefited from recent AI-driven advancements. Nevertheless, existing methods frequently face limitations in both applicability and explainability.…

计算工程、金融与科学 · 计算机科学 2025-07-24 Situo Zhang , Hanqi Li , Lu Chen , Zihan Zhao , Xuanze Lin , Zichen Zhu , Bo Chen , Xin Chen , Kai Yu

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

Solution-processed, lead halide-based perovskite solar cells have overcome important challenges over the recent years, offering low-cost and high solar power conversion efficiencies. However, they still undergo unoptimized light collection…

Deposition of perovskite thin films by antisolvent engineering is one of the most common methods employed in perovskite photovoltaics research. Herein, we report on a general method that allows the fabrication of highly efficient perovskite…

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

Accelerating the experimental cycle for new materials development is vital for addressing the grand energy challenges of the 21st century. We fabricate and characterize 75 unique halide perovskite-inspired solution-based thin-film materials…

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