Results 91 to 100 of about 243,107 (270)

Tuning the Selectivity of the CO2 Reduction Reaction by Means of Synergistic Interactions in the Cu, Ag, Ce System

Advanced Functional Materials, EarlyView.
Multi‐metal Cu─Ce─Ag nanoparticles harness synergistic interactions to drive efficient electrochemical CO2 reduction reaction toward C2+ products at high current densities. Ag enhances CO production, Ce modulates Cu oxidation states, and together they boost *CO coverage and local pH to enhance C─C coupling, enabling record C2+ yields with suppressed ...
Nini Zhang, Muhammad Adib Abdillah Mahbub, Bashir Eid, Thomas Quast, Jian Zhang, Ridha Zerdoumi, Xin Wang, Sabine Seisel, Wangcheng Zhan, Wolfgang Schuhmann   +9 more
wiley   +1 more source

Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides

IEEE Access, 2018
Blind channel estimation (BCE) which does not require the knowledge of the source signals becomes increasingly important in various underwater acoustic applications.
Wei Feng, Jianlong Li, T. C. Yang, Lan Zhang   +3 more
doaj   +1 more source

Transition From Lattice Oxygen to Radical‐Mediated Oxidation in Ammonium‐Intercalated Birnessite Catalysts for Selective Valorization of Biomass to Produce Formic Acid

Advanced Functional Materials, EarlyView.
The catalytic valorization of biomass represents an essential approach for achieving sustainable chemical production, with formic acid (FA) being recognized as a valuable platform chemical for hydrogen storage and environmentally friendly synthetic applications.
Yiqi Geng, Wei Xiong, Wenhua Xue, Jian Ye, Puranjan Mishra, Rajenahally V. Jagadeesh, Jun Zhao   +6 more
wiley   +1 more source

Nonparametric methods for volatility density estimation

, 2009
Stochastic volatility modelling of financial processes has become increasingly popular. The proposed models usually contain a stationary volatility process.
Spreij, Peter, van Es, Bert, van Zanten, Harry   +2 more
core  

Heteroatom‐Engineering Promoted Co9S8 Bi‐functional Electrocatalyst for Hydrazine‐Assisted Hydrogen Production at Industrial Current Density

Advanced Functional Materials, EarlyView.
Fe and P co‐doped Co9S8 nanocorals (Fe, P‐Co9S8) are successfully synthesized by a heteroatom engineering strategy, which exhibit outstanding bifunctional electrocatalytic performance for both the hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR).
Yuying Meng, Chunyan Xiang, Wenbiao Zhang, Dahai Zeng, Bing Du, Bao Zhong, Yue Jiang, Damien Voiry, Qingsheng Gao   +8 more
wiley   +1 more source

An Approximate Point-Spread Function for Electrical Impedance Tomography Imaging

IEEE Access
In Electrical Impedance Tomography, the ill-posed nature of the inverse problem and the interaction between the electric current and objects cause poor spatial resolution and blurring in the reconstructed images.
Hoang Nhut Huynh, Quoc Tuan Nguyen Diep, Anh Tu Tran, Congo Tak Shing Ching, Trung Nghia Tran   +4 more
doaj   +1 more source

New Lagrange Multipliers for the Blind Adaptive Deconvolution Problem Applicable for the Noisy Case

Entropy, 2016
Recently, a new blind adaptive deconvolution algorithm was proposed based on a new closed-form approximated expression for the conditional expectation (the expectation of the source input given the equalized or deconvolutional output) where the output ...
Monika Pinchas
doaj   +1 more source

Ultrastable Photoactive Halide Perovskite Nanocrystal‐Sensitized SnO2 Nanorods for Room‐Temperature NO2 Detection

Advanced Functional Materials, EarlyView.
ABSTRACT Metal oxide (MOx)‐based NO2 gas sensors typically require high temperatures or ultraviolet light, limiting their practical use. To enable visible‐light activation at room temperature, efficient and stable photosensitizers should be integrated with nanostructured MOx hosts.
Yeonji Yuk, Dokyum Kim, Jun‐Cheol Park, Yoonsung Jung, Inhyeok Oh, Donghyeon Lee, Yejoon Kim, Ji‐Eun Yeo, Young Min Song, Chang‐Lyoul Lee, Sanghan Lee   +10 more
wiley   +1 more source

Salient Deconvolutional Networks [PDF]

, 2016
Deconvolution is a popular method for visualizing deep convolutional neural networks; however, due to their heuristic nature, the meaning of deconvolutional visualizations is not entirely clear. In this paper, we introduce a family of reversed networks that generalizes and relates deconvolution, backpropagation and network saliency.
Mahendran, Aravindh, Vedaldi, Andrea
openaire   +2 more sources

Sustainable Catalyst‐Free PLG Networks: Recyclability, Biodegradability, and Functional Performance

Advanced Functional Materials, EarlyView.
A catalyst‐additive free covalent adaptable network is developed from star‐shaped poly(lactide‐co‐glycolide) cross‐linked with pyromellitic dianhydride, enabling internal carboxylic acid‐driven transesterification. The resulting biodegradable network exhibits mechanical robustness (Young's modulus ≈1.6 GPa), complete recyclability, rapid biodegradation
Lars Schwarzer, Emilia Fulajtar, Seema Agarwal   +2 more
wiley   +1 more source