Results 121 to 130 of about 1,952,092 (277)
Two New Low Rank Tensor Completion Methods Based on Sum Nuclear Norm
, 2022 The low rank tensor completion (LRTC) problem has attracted great attention in computer vision and signal processing. How to acquire high quality image recovery effect is still an urgent task to be solved at present.
Zhang, Hongbing +4 more
core
Descriptor‐Informed Screening of Interface‐Active Molecules for Efficient Magnesium Metal Anodes
Advanced Materials, EarlyView.A descriptor‐informed molecular screening strategy identifies 4‐bromo‐N, N‐dimethylaniline (BrNNA) as an interface‐active electrolyte component that enables fast Mg stripping/plating in Mg(TFSI)2‐based electrolytes. By simultaneously regulating Mg2+ solvation and interphase formation, the BrNNA‐containing electrolyte delivers activation‐free Mg ...
Hao Xu +16 more
wiley +1 more source
A robust low‐rank tensor completion model with sparse noise for higher‐order data recovery
IET Image ProcessingThe tensor singular value decomposition‐based model has garnered increasing attention in addressing tensor recovery challenges. However, existing tensor recovery methods exhibit certain inherent limitations.
Min Wang, Zhuying Chen, Shuyi Zhang
doaj +1 more source
Remote SensingTemporal random noise (TRN) in uncooled infrared detectors significantly degrades image quality. Existing denoising techniques primarily address fixed-pattern noise (FPN) and do not effectively mitigate TRN.
Zhihao Liu, Weiqi Jin, Li Li
doaj +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Advanced Materials, EarlyView.Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
$\ell_p$-sphere covering and approximating nuclear $p$-norm [PDF]
The spectral $p$-norm and nuclear $p$-norm of matrices and tensors appear in various applications albeit both are NP-hard to compute. The former sets a foundation of $\ell_p$-sphere constrained polynomial optimization problems and the latter has been ...
Li, Zhening +3 more
core +1 more source
A Critical Call for Mechanistic Investigations of Metal‐Bacteria Interactions
Advanced Materials, EarlyView.It is well established that the antibacterial properties of metals have tremendous importance for bioengineering applications. What is not as appreciated, however, is the reproducibility crisis in this field's vast literature. In this perspective, we highlight this reproducibility problem, discuss its sources, and suggest solutions towards focused ...
J. Rackwitz +9 more
wiley +1 more source
Rotational Tensor Nuclear Norm for Color Image Sparse Noise Removal
Image Sparse Noise Removal constitutes a core issue within the domain of image processing. The tensor nuclear norm (TNN) has achieved great success in color image sparse denoising, but it suffers from the problem of direction sensitivity.
Peiyu Qin, Li Guo
core +1 more source
, 2023 We consider convex relaxations for recovering low-rank tensors based on constrained minimization over a ball induced by the tensor nuclear norm, recently introduced in \cite{tensor_tSVD}.
Garber, Dan, Kaplan, Atara
core
Advanced Materials, EarlyView.This study reports on the chemical modification of hyaluronic acid to create hydrogels with hydrolytic degradability ranging from 2–28 days. Granular hydrogels that undergo timed degradation to increase porosity enhance cell invasion and provisional ECM remodeling in a muscle injury model, leading to reduced fibrosis and improved regeneration ...
Zhiyuan Chen +7 more
wiley +1 more source