Results 301 to 310 of about 3,683,476 (381)

Bridging Theory and Experiment: Machine Learning Potential‐Driven Insights into pH‐Dependent CO₂ Reduction on Sn‐Based Catalysts

Advanced Functional Materials, EarlyView.
Machine learning potential (MLP) enables large‐scale molecular dynamics (MD) simulations, uncovering dynamic surface reconstruction of SnO₂ and SnS₂ under CO₂ reduction reaction condition. The negative dipole moments upon *OCHO adsorption are the primary factors driving the leftward shift of the volcano plot.
Yuhang Wang, Zelin Wu, Yingfang Jiang, Di Zhang, Qiang Wang, Congwei Wang, Huihui Li, Xue Jia, Jun Fan, Hao Li   +9 more
wiley   +1 more source

Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study.

J Med Internet Res
Ahn SH, Yim K, Won HS, Kim KM, Jeong DH.
europepmc   +1 more source

Search Engine Technology and Digital Libraries

, 2004
Friedrich Summann, Norbert Lossau
openalex   +1 more source

The Influence of Annealing on the Sb Layer in the Synthesis of [001]‐Oriented Sb2Se3 Film for Photoelectrochemical Hydrogen Gas Generation

Advanced Functional Materials, EarlyView.
[001]‐oriented Sb2Se3 film with improved crystallinity and adjusted composition is achieved via a new thermal treatment approach consisting of preliminary annealing of the Sb layer before its selenization. The findings of this work demonstrate enhanced charge carriers' transportation, a stable performance, and an improvement of H2 generation from ...
Magno B. Costa, Moisés A. de Araújo, Joaquim Puigdollers, Pablo Ortega, Teresa Andreu, Cristobal Voz, Edgardo Saucedo, Lucia H. Mascaro   +7 more
wiley   +1 more source

Quantifying Electron and Ion Transfers in Contact Electrification with Ionomers

Advanced Functional Materials, EarlyView.
The concurrent existence of both electron and ion transfers in solid‐ionomer contact electrification is reported. The ion transfer contributes significantly to the process of contact electrification, especially at high humidity, although only less than 2% of ions participate in the ion transfer, suggesting that there is room for further performance ...
Xiaoting Ma, Jiaming Zhou, Eunjong Kim, Jingyi Gao, Wenyi Hu, Dong‐Myeong Shin   +5 more
wiley   +1 more source

Accelerated Discovery of High‐Performance PCFC Cathodes: Computational‐Experimental Optimization of Cobalt‐Substituted Ba0.95La0.05FeO3‐δ

Advanced Functional Materials, EarlyView.
An integrated computational–experimental strategy accelerates the discovery of high‐performance PCFC cathodes. Computational screening using machine learning interatomic potentials and targeted experiments identifies optimal cobalt substitution in Ba0.95La0.05FeO3‐δ, reducing area‐specific resistance by 58% at 500 °C.
Abdullah Tahir, Yuhao Wang, Jingwei Li, Yunfeng Tian, Francesco Ciucci   +4 more
wiley   +1 more source

Wood Reconfiguration Enables Broadband Blackbody in Large‐Area, Modular, Optically Welded Carbon Constructs

Advanced Functional Materials, EarlyView.
Wood‐based broadband blackbody is achieved by reconfiguration of wood with lignin nanoparticles prior carbonization. Neglectable reflectivity from the visible to infrared wavelengths is obtained by combining thin nanostructures originated from the wood cell walls with long‐range microcavities in the wood lumina.
Bin Zhao, Noora Jäntti, Alexey Khakalo, Ulla Holopainen‐Mantila, Wenyang Xu, Jaana Vapaavuori, Orlando J. Rojas, Bruno D. Mattos   +7 more
wiley   +1 more source

Selective Benzene Capture by Metal‐Organic Frameworks

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) hold significant potential for capturing benzene from air emissions and hydrocarbon mixtures in liquid phases. This capability stems from their precisely engineered structures, versatile chemistries, and diverse binding interactions.
Zongsu Han, Ankit Mondal, Jiatong Huo, Yihao Yang, Hong‐Cai Zhou   +4 more
wiley   +1 more source

Knowledge-based Semantic Meta-Search Engine

, 2004
In-K. Lee, Seo-H. Son, Soon-H. Kwon
openalex   +2 more sources

Covalent Adaptable Networks with Associative Siloxane Exchange Enabled by Amide‐Based Internal Catalysis: Designing for Reprocessability and Extrudability by Increasing the Cross‐Link Density

Advanced Functional Materials, EarlyView.
Internally catalyzed siloxane dynamic chemistry is demonstrated resulting from amides covalently linked through alkyl chains to siloxanes. The alkyl length in the siloxane‐containing monomer tunes the network cross‐link density. Siloxane exchange dynamics are faster with increasing cross‐link density, because associative exchange is second order in ...
Nathan S. Purwanto, Tong Wang, Xiaoyang Liu, Linda J. Broadbelt, Tapas Debsharma, John M. Torkelson   +5 more
wiley   +1 more source