Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
Aluminum Nitride Ultraviolet Light-Emitting Device Excited via Carbon Nanotube Field-Emission Electron Beam. [PDF]
Yu Y +11 more
europepmc +1 more source
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Aluminum Nitride-Based Adjustable Effective Electromechanical Coupling Coefficient Film Bulk Acoustic Resonator. [PDF]
Qu Y +9 more
europepmc +1 more source
Aluminum Nitride Piezoelectric Micromachined Ultrasound Transducer Arrays for Non-Invasive Monitoring of Radial Artery Stiffness. [PDF]
Wu S +6 more
europepmc +1 more source
This study demonstrates the high piezo‐photocatalytic activity of solid molecular catalysts (SMCs) in the production of hydrogen peroxide from water and oxygen. Through the rational design of molecular motifs (diphenylpyridine or terpyridine) and backbone functionalities (methyl group, aliphatic amine antenna, or aromatic pyrrole unit), as well as ...
Sarah Brettschneider +7 more
wiley +1 more source
The Effect of Defect Charge and Parasitic Surface Conductance on Aluminum Nitride RF Filter Circuit Loss. [PDF]
Xu T +7 more
europepmc +1 more source
Electrical Properties of Aluminum Nitride Thick Films Magnetron Sputtered on Aluminum Substrates. [PDF]
Desideri D +4 more
europepmc +1 more source
This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
wiley +1 more source
Processing and Thermal Conductivity of Bulk Nanocrystalline Aluminum Nitride. [PDF]
Duarte MA +4 more
europepmc +1 more source

