Results 51 to 60 of about 23,305 (264)

Catalytically Enhanced Near Room‐Temperature Hydrogen Sensing Using Pd‐ZnO Colloidal Crystals

Advanced Functional Materials, EarlyView.
Pd‐decorated ZnO colloidal crystal monolayers demonstrate excellent performance across a wide hydrogen concentration range at 33°C, with high selectivity and reproducible device fabrication. The sensors show strong responses even at low‐ppm H2 concentrations and an ultra‐low detection limit of 82 ppb, indicating their suitability for diverse hydrogen ...
Hamidah Alluhaybi, Samuel J. Ippolito, Chung Kim Nguyen, Durairaj Mahendiran, Michelle J. S. Spencer, Edwin L. H. Mayes, Billy James Murdoch, Jason Choi, Shamali De Silva, James Tardio, Adrian Trinchi, Ahmad E. Kandjani, Mohammad Al Kobaisi, Ylias Sabri   +13 more
wiley   +1 more source

Complementary ensemble adaptive sparsest narrow-band decomposition method and its applications to the gear crack fault diagnosis

Advances in Mechanical Engineering, 2020
Adaptive sparsest narrow-band decomposition is the most sparse solution to search for signals in the over-complete dictionary library containing intrinsic mode functions, which transform the signal decomposition into an optimization problem, but the ...
Yanfeng Peng, Junhang Chen, Ruiqiong Luo, Xiaojun Xie, Xianyu Zhu, Yanfei Liu, QingHua Lu, Kuanfang He   +7 more
doaj   +1 more source

Trend filtering via empirical mode decompositions [PDF]

Computational Statistics & Data Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Moghtaderi, Azadeh, Flandrin, Patrick, Borgnat, Pierre   +2 more
openaire   +2 more sources

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

Tailored Diketopyrrolopyrrole Derivatives for Efficient Deep‐Red Organic Lasers

Advanced Functional Materials, EarlyView.
Tailored diketopyrrolopyrrole derivatives exhibit high stable amplified spontaneous emission with single or dual bands. Incorporated into distributed‐feedback lasers based on one‐ and two‐dimensional dichromated‐gelatin diffractive gratings, these materials provide a robust, flexible platform for integrated organic deep‐red light sources. ABSTRACT Deep‐
Pablo Pasqués‐Gramage, Abelardo Sánchez‐Oliva, Álex Farrando‐Pérez, Pedro G. Boj, M. Victoria Gómez, Ana M. Rodríguez, Pilar Prieto, Rafael Muñoz‐Mármol, Andrew J. Musser, Iván Torres‐Moya, María A. Díaz‐García   +10 more
wiley   +1 more source

Detection of stretch reflex onset based on empirical mode decomposition and modified sample entropy

BMC Biomedical Engineering, 2019
Background Accurate spasticity assessment provides an objective evaluation index for the rehabilitation treatment of patients with spasticity, and the key is detecting stretch reflex onset.
Mingjia Du, Baohua Hu, Feiyun Xiao, Ming Wu, Zongjun Zhu, Yong Wang   +5 more
doaj   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

Hybrid Empirical and Variational Mode Decomposition of Vibratory Signals

Algorithms
Signal analysis is a fundamental field in engineering and data science, focused on the study of signal representation, transformation, and manipulation. The accurate estimation of harmonic vibration components and their associated parameters in vibrating
Eduardo Esquivel-Cruz, Francisco Beltran-Carbajal, Ivan Rivas-Cambero, José Humberto Arroyo-Núñez, Ruben Tapia-Olvera, Daniel Guillen   +5 more
doaj   +1 more source

An adaptive denoising fault feature extraction method based on ensemble empirical mode decomposition and the correlation coefficient

Advances in Mechanical Engineering, 2017
Vibration signal processing is commonly used in the mechanical fault diagnosis. It contains abundant working status information. The vibration signal has some features such as non-linear and non-stationary. It has a lot of interference information. Fault
Huixiang Yang, Tengfei Ning, Bangcheng Zhang, Xiaojing Yin, Zhi Gao   +4 more
doaj   +1 more source