Results 131 to 140 of about 3,408 (218)

Mitigating Stress‐Induced Nonphotoactive Phase Transition Through Sodium Sulfonate Engineering for Stable and Efficient Perovskite Solar Cells

Angewandte Chemie, EarlyView.
To address the phase stability issue of α‐FAPbI3, we employed a cation doping strategy using 1‐decanesulfonate (C10H21NaO3S). This doping releases lattice strain and suppresses the formation of the δ‐phase, enabling breakthrough performance in perovskite solar cells with a power conversion efficiency of 26.67% and excellent thermal and photostability ...
Zhihuan Tang, Mingzi Sun, Jinghao Ge, Ying Wang, Yunfan Wang, Yiran Tao, Lu Zhang, Xinhui Lu, Sai‐Wing Tsang, Weizhong Tian, Rui Wang, Hao‐Chung Kuo, Bolong Huang, Shengzhong (Frank) Liu, Jiaxue You, Alex K. Y. Jen   +15 more
wiley   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Molecularly Templated Buried Interfaces for Inverted Perovskite Solar Cells

Angewandte Chemie, EarlyView.
We demonstrate a molecularly matched buried interface between SAM and perovskite, enhancing adhesion and passivating defects. This optimized interface achieves 26.58% power conversion efficiency and 86.72% fill factor with exceptional operational stability in both large‐area and wide‐bandgap devices, thereby increasing efficiency and prolonging ...
Songyang Yuan, Quanrun Qiu, Huaiman Cao, Chengda Ge, Yiting Jiang, Gengyang Su, Lingyi Ke, Gengxin Du, Guangruixing Zou, Hui Liu, Guanhua Ren, Jing Wang, Nan Zhang, Yidan An, Qingduan Li, Ze Yu, Tao Jia, Yue‐Peng Cai, Shengjian Liu, Hin‐Lap Yip   +19 more
wiley   +2 more sources

Analysis of LNSS satellite occlusion in the southern polar region of the Moon based on DEM. [PDF]

Sci Rep
Zhang Y, Chen X, Yang S, Han Y, Hong Z, Tong X.   +5 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

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, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Reaction Environment Engineering for Selective C3+ Formation in CO2 Electroreduction: Progress and Perspectives

Angewandte Chemie, EarlyView.
This work focuses on how to improve the selectivity and activity of electrocatalytic CO2 reduction to C3+ products, by the integration of electrocatalyst and electrolyte co‐design. We summarize key C3+ formation mechanisms and provide a comprehensive reaction network through thermodynamic analysis.
Ling Chen, Damien Voiry, Yan Jiao
wiley   +2 more sources

Hybrid AI Models for Short-Term Photovoltaic Forecasting: A Systematic Review of Architectures, Performance, and Deployment Challenges. [PDF]

Sensors (Basel)
Saltos JM, Intriago Cedeño MG, Balderramo Velez NR, León GTR, Cano-Ortega A.   +4 more
europepmc   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Natural Sunlight IR‐Driven Highly Efficient Synthesis of Acetaldehyde From Bioethanol Over Cu/Fe2O3

Angewandte Chemie, EarlyView.
This work reports a Cu/Fe2O3 catalyst for the conversion of bioethanol into valuable acetaldehyde and green hydrogen under both infrared (IR) light and natural sunlight. This IR‐driven system sets a new performance benchmark, with TON and initial TOF enhanced by at least one order of magnitude, enabled by a constructed IR photon‐to‐phonon channel and ...
Xiyi Li, Jiangting Zhao, Junjun Guo, Ze‐Kai Yu, Enqi Chen, Qiong Liu, Tieou Wang, Asterios Gavriilidis, Xue‐Qing Gong, Yang Lan, Junwang Tang   +10 more
wiley   +2 more sources

STTORM-CD low-demand and high-impact disaster monitoring onboard satellites using change detection. [PDF]

Sci Rep
Herec J, Sedmidubsky J, Pitoňák R.
europepmc   +1 more source