Results 221 to 230 of about 38,294 (273)

Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao   +4 more
wiley   +1 more source

Band‐Edge Engineering of BiFeO3–KTaO3 Solid Solutions toward Efficient Solar Hydrogen Production

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study reports BiFeO3–KTaO3 solid solutions as efficient photocathodes for solar hydrogen production. Combining experiments with density functional theory, the authors demonstrate composition‐driven band‐edge tuning, achieving high photocurrent density and hydrogen generation rates.
Yassine Nassereddine   +5 more
wiley   +1 more source

Passivation of Sodium Benzenesulfonate at the Buried Interface of a High-Performance Wide-Bandgap Perovskite Solar Cell. [PDF]

open access: yesMaterials (Basel)
La S   +13 more
europepmc   +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

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

Conformal TiO2 Aerogel-Like Films by Plasma Deposition: from Omniphobic Antireflective Coatings to Perovskite Solar Cell Photoelectrodes. [PDF]

open access: yesACS Appl Mater Interfaces
Obrero JM   +13 more
europepmc   +1 more source

Micro/Nanorobot for Drug Delivery—A Review of Material Selections

open access: yesAdvanced NanoBiomed Research, EarlyView.
This review explores material strategies for biomedical micro/nanorobots, emphasizing their roles in propulsion, navigation, drug delivery, and biodegradability. It highlights advancements in metallic, polymeric, and hybrid materials, while addressing clinical translation challenges such as toxicity, immune response, and manufacturability.
Xiaozhuo Wu, Bingyun Li, Malcolm Xing
wiley   +1 more source

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