Results 181 to 190 of about 38,681 (271)

Enabling Long Term, Shelf‐Stable Perovskite Solar Cells: Alumina Barriers to Protect Perovskite Devices from Moisture and Oxygen

open access: yesAdvanced 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

Recent Advances and Remaining Challenges in Perovskite Solar Cell Components for Innovative Photovoltaics. [PDF]

open access: yesNanomaterials (Basel)
Baraneedharan P   +6 more
europepmc   +1 more source

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

open access: yesAdvanced 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

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

open access: yesAdvanced 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

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Redox‐Mediated Stabilization of the Hole Transport Layer and Buried Interface Toward Stable Perovskite Solar Cells

open access: yesAngewandte Chemie, EarlyView.
A facile and effective strategy, that is, synergistic regulation of the NiOx/SAM buried interface via cesium oxalate (CsOA) modification, is developed. The CsOA treatment suppresses detrimental Ni4+ formation, promotes uniform SAM assembly, and aligns the energy levels at the hole‐transport layer/perovskite interface, enabling improved film ...
Jiarong Wang   +16 more
wiley   +2 more sources

Improving the Efficiency of Semitransparent Perovskite Solar Cell Using Down-Conversion Coating. [PDF]

open access: yesACS Appl Mater Interfaces
Glowienka D   +10 more
europepmc   +1 more source

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