Results 71 to 80 of about 78,652 (284)

Diffusion of heat, energy, momentum, and mass in one-dimensional systems

, 2013
We study diffusion processes of local fluctuations of heat, energy, momentum, and mass in three paradigmatic one-dimensional systems. For each system, diffusion processes of four physical quantities are simulated and the cross correlations between them ...
D. Forster, E. Fermi, Hong Zhao, J. P. Hansen, Jiao Wang, L. D. Landau, R. Kubo, Shunda Chen, Yong Zhang   +8 more
core   +1 more source

Exploiting Two‐Photon Lithography, Deposition, and Processing to Realize Complex 3D Magnetic Nanostructures

Advanced Functional Materials, EarlyView.
Two‐photon lithography (TPL) enables 3D magnetic nanostructures with unmatched freedom in geometry and material choice. Advances in voxel control, deposition, and functionalization open pathways to artificial spin ices, racetracks, microrobots, and a number of additional technological applications.
Joseph Askey, Arjen van den Berg, Sandra Ruiz Gomez, Claire Donnelly, Dirk Grundler, Sam Ladak   +5 more
wiley   +1 more source

Two‐Dimensional Materials as a Multiproperty Sensing Platform

Advanced Functional Materials, EarlyView.
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana, Shubhrasish Mukherjee, Dmitrii Litvinov, Magdalena Grzeszczyk, Sergey Grebenchuk, Makars Šiškins, Virgil Gavriliuc, Yihang Ouyang, Changyi Chen, Yuxuan Ye, Meng Yiming, Maciej Koperski   +11 more
wiley   +1 more source

A Novel Remote Sensing Spatiotemporal Data Fusion Framework Based on the Combination of Deep-Learning Downscaling and Traditional Fusion Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Traditional remote sensing spatiotemporal data fusion algorithms generally use upsampled low-resolution images (MODIS) to be fused with high-resolution images (Landsat); this makes both images less spatially consistent and many hybrid image elements in ...
Dunyue Cui, Shidong Wang, Cunwei Zhao, Hebing Zhang   +3 more
doaj   +1 more source

Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals

Advanced Functional Materials, EarlyView.
This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee, Sojin Kim, Myeongeun Lee, Kyoungsuk Jin, Jimin Park   +4 more
wiley   +1 more source

Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena [PDF]

, 2012
The problem of modeling and predicting spatiotemporal traffic phenomena over an urban road network is important to many traffic applications such as detecting and forecasting congestion hotspots. This paper presents a decentralized data fusion and active
Chen, Jie, Dolan, John M., Jaillet, Patrick, Low, Kian Hsiang, Oran, Ali, Sukhatme, Gaurav S., Tan, Colin Keng-Yan   +6 more
core   +2 more sources

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

Advanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source

Recent Advances in Deep Learning-Based Spatiotemporal Fusion Methods for Remote Sensing Images

Sensors
Remote sensing images captured by satellites play a critical role in Earth observation (EO). With the advancement of satellite technology, the number and variety of remote sensing satellites have increased, which provide abundant data for precise ...
Zilong Lian, Yulin Zhan, Wenhao Zhang, Zhangjie Wang, Wenbo Liu, Xuhan Huang   +5 more
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features

International Journal of Applied Earth Observations and Geoinformation
The Leaf Area Index (LAI) is an essential parameter for assessing vegetation growth. LAI derived from optical data can suffer from gaps caused by cloud cover. Synthetic Aperture Radar (SAR) presents a solution with its all-weather observation capability.
Mingqi Li, Pengxin Wang, Kevin Tansey, Fengwei Guo, Ji Zhou   +4 more
doaj   +1 more source