Results 251 to 260 of about 3,009,504 (307)
Multi‐metal Cu─Ce─Ag nanoparticles harness synergistic interactions to drive efficient electrochemical CO2 reduction reaction toward C2+ products at high current densities. Ag enhances CO production, Ce modulates Cu oxidation states, and together they boost *CO coverage and local pH to enhance C─C coupling, enabling record C2+ yields with suppressed ...
Nini Zhang +9 more
wiley +1 more source
Exploring the Association Between Internet Use and Dietary Habits of Adolescents and University Students in Greece: A Pilot Study. [PDF]
Stavraki C +5 more
europepmc +1 more source
Atomic‐Scale Light Coupling Control in Ultrathin Photonic Membranes
Ultrathin photonic nanomembranes provide atomic‐scale control over the coupling between incident light and high‐Q photonic modes, enabling angstrom‐level resonance tuning and strong field confinement. When integrated with TMD monolayers, they further yield enhanced light–matter interactions, offering a versatile platform for advancing quantum photonics,
Chih‐Zong Deng +8 more
wiley +1 more source
A Hybrid Model for Copper Futures Price Forecasting Utilizing Complexity-Aware Variational Mode Decomposition and Reconstruction and Multi-Behavior-Triggered Interaction Modeling. [PDF]
Li Y, Liu D.
europepmc +1 more source
This study presents a versatile approach to harnessing miscible aqueous domains, enabling liquid‐in‐liquid compartmentalization using a barrier formed in situ rather than bulk immiscibility. The barrier forms upon the complexation of multifunctional nanoparticles and ligands at the contact boundary of aqueous phases.
Seyyed Alireza Hashemi +7 more
wiley +1 more source
Consumer credit evaluation model for free trade ports by a sparse attention transformer and graph neural network. [PDF]
Wu M, Sabri MF, Meng C, Wang S.
europepmc +1 more source
Additomultiplicative Cascades Govern Multifractal Scaling Reliability Across Cardiac, Financial, and Climate Systems. [PDF]
Mangalam M, Watanabe E, Kiyono K.
europepmc +1 more source
Interpretable predictive model for listed companies ESG greenwashing based on XGBoost and SHAP. [PDF]
Jianfeng Z, Tiantian Q.
europepmc +1 more source

