Results 171 to 180 of about 387,631 (312)

Highlights of 1999 / National Environmental Satellite, Data, and Information Service

, 1999
Mode of access ...
United States. National Environmental Satellite, Data, and Information Service
core  

The Ni,Cd Heteroatoms‐Initiated Synergistic Tuning of Electron Configuration in Fe2VO4 Nanosheets Electrocatalysts to Profoundly Stabilize Alkaline Seawater Electrolysis

Advanced Functional Materials, EarlyView.
A Ni,Cd‐codoped Fe2VO4/NF bifunctional electrocatalyst is rationally designed for efficient seawater electrolysis. Synergistic effect modulates electron configuration, optimizes intermediates adsorption, stabilizes high‐valence Fe/V sites, and repels chloride ions to suppress corrosion and side reactions, thus contributing to performance improvement of
Weiguo Huang, Bin Fang, Tao Meng, Xiaodong Chen, Ya Chen, Xin Gao, Fei Liang, Hongchao Sun, Jiangmin Zou, Chao Yuan, Yuanyuan Shao, Peiyi Ji, Yangang Wang, Lifeng Cui, Guoxiu Wang, Duu‐Jong Lee   +15 more
wiley   +1 more source

Integrating optical and radar satellite data for conflict-related change detection in Ukraine. [PDF]

Sci Rep
Karwowska K, Slesinski J, Sekrecka A, Smiarowski M, Metsoja K.   +4 more
europepmc   +1 more source

Ultrasensitive Anti‐Stokes Luminescence Thermometry in Transition Metal Dichalcogenide Monolayers

Advanced Functional Materials, EarlyView.
We demonstrate a highly sensitive nanothermometer using anti‐Stokes photoluminescence, also known as photoluminescence upconversion (UPL), in monolayer tungsten disulfide. A strong resonantly enhanced UPL is observed, confirming the central role of optical phonons in the PL upconversion mechanism.
Sharada Nagarkar, Fahrettin Sarcan, Elanur Hut, Emiliano R. Martins, Stuart A. Cavill, Thomas F. Krauss, Yue Wang   +6 more
wiley   +1 more source

GEMS satellite data fusion for hourly air quality prediction in Taiwan. [PDF]

Sci Rep
Lin WH, Chan TC.
europepmc   +1 more source

Ionic Transportation Induced Electric Field Modulation in Porous Ecoflex/PTFE with Confined Liquid for High‐Performance Contact Electrification Power Generation

Advanced Functional Materials, EarlyView.
Porous Ecoflex/PTFE composite with encapsulated liquid generates electricity through ionic migration induced by dynamic pore deformation, creating non‐uniform electric fields that drive charge induction on electrodes. This mechanism enhances charge transfer and ensures stable contact electrification performance, achieving 12 V and 4 nC with consistent ...
Xiangkun Bo, Juyang Wei, Zihua Li, Yuejiao Chen, Hong Fu, Bingang Xu   +5 more
wiley   +1 more source

Quantifying urban and landfill methane emissions in the United States using TROPOMI satellite data. [PDF]

Sci Adv
Wang X, Jacob DJ, Nesser H, Balasus N, Estrada LA, Sulprizio MP, Cusworth DH, Scarpelli TR, Chen Z, East JD, Varon DJ.   +10 more
europepmc   +1 more source

Enhancment of dense urban digital surface models from VHR optical satellite stereo data by pre-segmentation and object detection

, 2010
The generation of digital surface models (DSM) of urban areas from very high resolution (VHR) stereo satellite imagery requires advanced methods. In the classical approach of DSM generation from stereo satellite imagery, interest points are extracted and
Reinartz, Peter, Krauß, Thomas
core  

3D Printing Innovations in Polymeric Porous and Patterned Architecture

Advanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil, Sri Vaishnavi Thummalapalli, Clarissa Westover, Arunachalam Ramanathan, M. Taylor Sobzcak, Roumika Patil, Qixuan Xiang, Tiantian Li, Sui Yang, Timothy E. Long, Hongyue Sun, Xianqiao Wang, Yang Liu, Kenan Song   +13 more
wiley   +1 more source

Correction to "Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data". [PDF]

Environ Sci Technol
Kang E, Jung S, Im J, Choi H, Hwang S, Yoo C, Marshall JD, Kim D, Kim J, Kim SM.   +9 more
europepmc   +1 more source