Results 101 to 110 of about 3,061 (275)

A New Customizable Surfactant LLPS Strategy for Sustainable and Highly Efficient Radioactive Metal Ion Separation

Advanced Science, EarlyView.
A diluent‐free, customizable liquid–liquid phase separation (LLPS) platform enables highly efficient radioactive metal ion extraction and stripping. By encapsulating hydrophobic extractants into an ionic surfactant‐rich condensed phase, this LLPS system leverages synergistic electrostatic and coordination interactions.
Ruihan Yan, Yifu Hu, Wentao Wang, Zhi Cao, Meiwen Cao, Weifang Zheng, Guoan Ye, Taihong Yan   +7 more
wiley   +1 more source

Fast Decision Making of Point Cloud Video Geometry CU Partition Based on Occupied Pixels

IEEE Access
The video-based point cloud compression Standard (V-PCC) uses file-based projection technology to map point cloud data in three-dimensional space to two-dimensional space, creating geometric graphs and attribute graphs, then, with the help of the ...
Fengqin Wang, Juanjuan Jia, Qiuwen Zhang
doaj   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Tunable High‐Performance Metamaterial Filters Based on Novel SRR Architectures

Advanced Science, EarlyView.
Based on two novel SRR configurations and two independent SRR integration approaches, four tunable bandpass metamaterial filters were fabricated with an ultra‐thin ceramic substrate. Among them, SM‐2 achieves over 97% electromagnetic wave transmittance, with a minimal 1.15% deviation in its resonant frequency prediction, making them promising ...
Lingxi Qu, Liya Zheng, Ruopeng Liu, Chunlin Ji, Bin Li   +4 more
wiley   +1 more source

AI based data-driven point cloud optimization strategy in cloud computing framework for improving rendering performance of virtual city scenes

Discover Computing
With the development of cloud computing framework, the visualization of city scenes is shifting to the 3D domain. However, the increase of scene complexity makes efficient rendering of virtual city scene an important challenge.
Cao Zhongda
doaj   +1 more source

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Deep Learning-Based Event Data Coding: A Joint Spatiotemporal and Polarity Solution

IEEE Open Journal of Signal Processing
Neuromorphic vision sensors, commonly referred to as event cameras, generate a massive number of pixel-level events, composed by spatiotemporal and polarity information, thus demanding highly efficient coding solutions.
Abdelrahman Seleem, Andre F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira   +3 more
doaj   +1 more source

Tailored D‐π Conjugation Boosts Piezocatalytic CO2 Reduction in a Platinum(II)‐Acetylide Framework

Advanced Science, EarlyView.
The highly conjugated metalII‐acetylide framework demonstrates efficient ultrasound‐driven conversion of CO2 to CO. The piezoelectric field generated by ultrasound facilitates electron transfer from the tetraphenylene π‐column to the MII‐bis(acetylide) moiety, enabling CO2 activation. Compared to PdII‐ and NiII‐based analogues, the stronger d–π orbital
Mude Zhu, Yingtang Zhou, Kai Wang, Xiaoyun Fan, Yang Ding, Wai‐Yeung Wong, Linli Xu   +6 more
wiley   +1 more source

ARNet: Attribute artifact reduction for G-PCC compressed point clouds

Computational Visual Media
A learning-based adaptive loop filter is developed for the geometry-based point-cloud compression (G-PCC) standard to reduce attribute compression artifacts.
Junzhe Zhang, Junteng Zhang, Dandan Ding, Zhan Ma   +3 more
doaj   +1 more source

LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression

The key to effective point cloud compression is to obtain a robust context model consistent with complex 3D data structures. Recently, the advancement of large language models (LLMs) has highlighted their capabilities not only as powerful generators for ...
Ye, Yuqi, Gao, Wei
core