Results 81 to 90 of about 23,095 (305)
Selective Ion‐Blocking Strategy for Stabilizing Perovskite Tandem Solar Cells
Advanced Energy Materials, EarlyView.A selective ion‐blocking Li─T interlayer is introduced at LiF‐passivated perovskite interfaces to suppress fluorine diffusion while preserving the beneficial interfacial passivation of LiF. This ion‐blocking strategy markedly improves the long‐term operational stability of both single‐junction and monolithic all‐perovskite tandem cells under continuous
Sunwoo Kim +15 more
wiley +1 more source
Silicon-Based Technologies for Flexible Photovoltaic (PV) Devices: From Basic Mechanism to Manufacturing Technologies. [PDF]
Nanomaterials (Basel), 2021 Kim S, Hoang VQ, Bark CW.
europepmc +1 more source
Prediction of Photovoltaic (PV) Thermal Fault Location Using the Catadioptric Device [PDF]
, 2023 Putu Agus Aditya Pramana, Rinaldy Dalimi
openalex +1 more source
Advanced Energy Materials, EarlyView.This study reports a packaging strategy for perovskite photovoltaic devices using atomic layer deposition (ALD) of aluminum oxide. Through optimization of deposition temperature and oxidant chemistry, researchers develop a 50 nm barrier layer with superior water vapor (WVTR) and oxygen transmission rates (OTR).
Melissa A. Davis +11 more
wiley +1 more source
Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
Advanced Energy and Sustainability Research, EarlyView.This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Advanced Physics Research, EarlyView.ABSTRACT This study examines light‐matter interactions in CsFAPb(Br, I)3 perovskite thin films by analyzing their absorption, reflection, and emission properties using Fresnel‐based OPAL2 simulations. The optical spectra show sharp absorption edges at 1.55 – 1.60 eV for CH3NH3PbI3 and triple‐cation perovskites, which blue‐shift to ∼1.8 eV with ...
Miller Shatsala +3 more
wiley +1 more source
Investor Perception of ESG in Earnings Calls
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how the communicator's role and the framing of ESG statements affect investor capital allocation in the context of earnings calls. Based on a virtual asset market experiment, the analysis identifies that the assurance and reinforcement of ESG messages have a positive effect of up to 8% on capital allocation, with especially
Felix Bachner
wiley +1 more source
On the efficiency of cooled solar panels
Physical Sciences and Technology, 2018 The photovoltaic (PV) solar panels are getting bigger applications in the practice. Their efficiency is better at lower temperatures. Normally the panels are cooled with the ambient air (in this case the gained heat is dissipated to the surrounding ...
N. Paunkov +3 more
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