Results 101 to 110 of about 50,320 (299)

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

open access: yesAdvanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang   +6 more
wiley   +1 more source

Efficiency of tandem solar cell systems as function of temperature and solar energy concentration ratio [PDF]

open access: yes
The results of a comprehensive theoretical analysis of tandem photovoltaic solar cells as a function of temperature and solar concentration ratio are presented.
Gokcen, N. A., Loferski, J. J.
core   +1 more source

Electrostatic Potential Complementarity for Thickness‐Tolerant Cathode Interlayers in High‐Efficiency Organic and Tandem Solar Cells

open access: yesAdvanced Science, EarlyView.
Two model molecules — trimesic acid (TMA) and phloroglucinol (PG) — with opposite central electrostatic potential (ESP) distributions are employed to elucidate how molecular electrostatic interactions regulate the cathode interlayer (CIL) PDINN. Electrostatic potential complementarity is revealed as the intrinsic origin of thickness sensitivity in CILs,
Xiaoman Ding   +13 more
wiley   +1 more source

How Halide Segregation Governs the Ion Density Evolution and Ionic Performance Losses: From Degradation to Recovery

open access: yesAdvanced Energy Materials, EarlyView.
Halide segregation (HS) in mixed‐halide wide‐bandgap (WBG) perovskites is key to the stability of perovskite‐based tandem cells and a central focus of large‐scale research efforts. Here, we find that the underlying reason for the poor stability of cells prone to HS is enhanced ionic losses during operation. Furthermore, we identified irreversible ionic
Nikhil Kalasariya   +24 more
wiley   +1 more source

Numerical Simulation of CdS/CIGS Tandem Multi-Junction Solar Cells with AMPS-1D [PDF]

open access: yesJournal of Optoelectronical Nanostructures, 2017
Numerical modeling of polycrystalline thin-film solar cell serves as an imperative procedure to test the suitability of proposed physical clarification and to anticipate the effect of physical changes on cell performance.
Ashrafalsadat Mirkamali   +1 more
doaj  

Raising the Efficiency Limit of the GaAs-based Intermediate Band Solar Cell Through the Implementation of a Mololithic Tandem with an AlGaAs top Cell. [PDF]

open access: yes, 2010
The high efficiency limit of the intermediate band solar cell (IBSC) corresponds to the case of using as intermediate band (IB) host material a semiconductor with gap in the range of 2 eV.
Antolín Fernández, Elisa   +5 more
core   +1 more source

Quantifying Evolving Defect Parameters in Metal Halide Perovskites via the Measurement and Modeling of Power‐Dependent Transient Photoluminescence

open access: yesAdvanced Energy Materials, EarlyView.
ABSTRACT Dynamic photoinduced defect states in metal halide perovskites (MHPs) critically govern the non‐equilibrium photophysics, metastability, and long‐term performance of optoelectronic devices, such as solar cells. This metastability is evident in steady‐state photoluminescence experiments, where the amplitudes increase or decrease depending on ...
Maxim Simmonds   +6 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

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