Wind-Induced Vibration Monitoring of High-Mast Illumination Poles Using Wireless Smart Sensors. [PDF]
Shaheen M, Li J, Bennett C, Collins W.
europepmc +1 more source
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
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
<i>P</i>-adic <i>L</i>-functions for GL ( 3 ). [PDF]
Loeffler D, Williams C.
europepmc +1 more source
Sputtering Mechanism of an Unsintered Organic–Inorganic Sputtering Target for Perovskite Solar Cells
An unsintered MAPbI3 sputtering target fabricated via a mechanochemical route enables large‐area vacuum deposition of perovskite absorber layers, while revealing an ion–photon coupled decomposition mechanism that governs target erosion and film composition under RF plasma exposure.
Doha Lim +9 more
wiley +1 more source
Mechanical Properties and Feasibility of GFRP from Decommissioned Large-Scale Wind Turbine Blades for Wave Energy Converter: A Case Study. [PDF]
Li YW, Lai JS, Zhou BZ, Cheng L.
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Bilinear Distance Feature Network for Semantic Segmentation in PowerLine Corridor Point Clouds. [PDF]
Zhou Y, Feng Z, Chen C, Yu F.
europepmc +1 more source
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
5G and energy internet planning for power and communication network expansion. [PDF]
Chen L +5 more
europepmc +1 more source

