Results 111 to 120 of about 3,061 (275)
Adsorption of Forever Chemical Pollutants: The Physical Chemistry of PFAS Near Surfaces
Current adsorption‐based remediation techniques for removing per‐ and polyfluoroalkyl substances (PFAS) from water are limited by knowledge gaps on PFAS behavior near solid surfaces. This review provides a state of the art on theoretical and experimental aspects of PFAS adsorption.
Nada Ben Amor +3 more
wiley +1 more source
Autoencoder Architectures for Low-Rate Sparse Point Cloud Geometry Coding
Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain efficiency. This work proposes a system-level framework for low-
Ivaylo Bozhilov +5 more
doaj +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
A significant challenge remains in identifying and modeling complex 3D point cloud indoor scenes, especially when indoor structural points exhibit similar spatial geometry. By combining local point convolution and global sparse vector attention (SVA), we
Yining Cui +5 more
doaj +1 more source
ABSTRACT To confront extreme space environments, a combination of inorganic and organic coatings can provide a pathway for offering highly durable radiation resistance and anti‐friction simultaneously. Herein, a strong interfacial 3D hydrogen‐bonding network is designed to create robust hexagonal boron nitride (h‐BN) based polymer coatings with ...
Zhuoyi Li +7 more
wiley +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
Tree-Structured Point-Lattice Vector Quantization for 3-D Point Cloud Geometry Compression
International audienceThis paper deals with the current trends of technologies which aim at representing efficiently 3D point cloud, they have become a popular challenge for processing, storing and conveying the data independently of how it was captured.
Normand, Nicolas +2 more
core
The incorporation of oxygen vacancies (OVs) presents a viable strategy for fine‐tuning the photocatalytic prowess of BiOCl. A reliable hydrogen annealing reduction technique is employed to precisely design OVs, thereby optimizing the light absorption capacity, as well as the efficiency of carrier migration and separation in BiOCl.
Shuaihao Ma +11 more
wiley +1 more source
Rational engineering of terminal substituents in symmetric azobenzene‐based molecules enables precise control over conformationally coupled charge‐transfer processes. This design yields tunable nonvolatile resistive memory behaviors, ranging from write‐once‐read‐many‐times (WORM) to rewritable switching.
Yanze Liu +11 more
wiley +1 more source
Graph-based compression of dynamic 3D point cloud sequences [PDF]
This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud frames are similar, motion estimation is key to effective compression of ...
Chou, Philip A. +2 more
core +1 more source

