Results 61 to 70 of about 3,387 (229)

Extreme Polaritonic Interactions in a Room‐Temperature Designable Sub‐Nanocavity Quantum Electrodynamic Platform

Advanced Science, EarlyView.
 A nanoparticle‐cluster‐on‐mirror (NPcoM) serves as a functionally deterministic sub‐nanocavity that emulates picocavities, enabling extreme light–matter interactions and polaritonic phenomena. ABSTRACT Pushing nanoscale optical confinement to its ultimate limits defines the regime of nano‐cavity quantum electrodynamics (nano‐cQED), where light‐matter ...
Huatian Hu, Xin Shu, Zhiwei Hu, Di Zheng, Ruiqian Zhang, Ximin Cui, Wei Dai, Xiang Lan, Xiaobo Han, Wen Chen, Hongxing Xu   +10 more
wiley   +1 more source

Multispectral Image Denoising via Nonlocal Multitask Sparse Learning

Remote Sensing, 2018
The goal of multispectral imaging is to obtain the spectrum for each pixel in the image of a scene and deliver much reliable information. It has been widely applied to several fields including mineralogy, oceanography and astronomy.
Ya-Ru Fan, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Shanxiong Fan   +4 more
doaj   +1 more source

Spatially Separated Redox Centers in One‐Dimensional Sp2‐Carbon Covalent Organic Frameworks Enable Synergistic Photocatalytic Palladium Recovery and Bisphenol A Mineralization

Advanced Science, EarlyView.
A one‐dimensional sp2‐carbon covalent organic framework with spatially segregated redox centers integrates a dual photosensitizing system and a cationic interface for synergistic photocatalysis. The material achieves exceptional palladium recovery (1749 mg g−1) and bisphenol A mineralization (0.1710 min−1) without sacrificial agents, demonstrating ...
Yi‐Ru Chen, Jing‐Yi Li, Yao Xiao, Dan Zhong, Lu Zhang, Yu‐Ting Xie, Xiu Wang, Yibao Li, Wei‐Rong Cui, Jian‐Ding Qiu   +9 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
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, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Exploiting the Self-Similarity in ERP Images by Nonlocal Means for Single-Trial Denoising

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013
Event related potentials (ERPs) represent a noninvasive and widely available means to analyze neural correlates of sensory and cognitive processing. Recent developments in neural and cognitive engineering proposed completely new application fields of this well-established measurement technique when using an advanced single-trial processing.
Daniel J, Strauss, Tanja, Teuber, Gabriele, Steidl, Farah I, Corona-Strauss   +3 more
openaire   +2 more sources

A new similarity measure for nonlocal filtering in the presence of multiplicative noise [PDF]

, 2011
A new similarity measure and nonlocal filters for images corrupted by multiplicative noise are presented. The considered filters are generalizations of the nonlocal means filter of Buades et al.; which is known to be well suited for removing additive ...
Teuber, T., Lang, Annika, Lang, Annika,, Teuber, Tanja   +3 more
core   +1 more source

Joint Nonlocal, Spectral, and Similarity Low-Rank Priors for Hyperspectral-Multispectral Image Fusion

, 2022
The fusion of a low-spatial-and-high-spectral resolution hyperspectral image (HSI) with a high-spatial-and-low-spectral resolution multispectral image (MSI) allows synthesizing a high-resolution image (HRI), supporting remote sensing applications, such ...
Gelvez-Barrera, Tatiana, Arguello, Henry, Foi, Alessandro   +2 more
core   +1 more source

How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang, Lena Kuhn, Hang Xiong, Zhanli Sun, Thomas Glauben   +4 more
wiley   +1 more source

Using density functional theory to describe slowly varying fluctuations at finite temperatures : local magnetic moments in Gd and the ‘not so local’ moments of Ni [PDF]

, 2014
We briefly describe the density functional theory (DFT)-based 'disordered local moment' (DLM) picture for magnetism at finite temperatures. It shows how relatively slowly fluctuating local moments can emerge from the interacting electrons of many ...
Ernst, A. (Arthur), Staunton, Julie B., Marmodoro, Alberto   +2 more
core   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source