Results 181 to 190 of about 639,841 (326)

Highly Sensitive Electrochemical Biosensor Based on Hairy Particles with Controllable High Enzyme Loading and Activity

Advanced Functional Materials, EarlyView.
For the first time, a highly sensitive electrochemical biosensor based on SiO2‐based hairy particles with a grafted PDMAEMA polymer brush containing a quantifiable and large amount of immobilized Laccase is reported. The fabricated biosensor exhibits a sensitivity of 0.14 A·m⁻¹, a limit of detection (LOD) of 0.1 µm, and a detection range of 0.3–750 µm,
Pavel Milkin, Anila Antony, Hongtao Cai, Antonia Debevc, Ceyda Topal, Anne Linhardt, Alla Synytska, Leonid Ionov   +7 more
wiley   +1 more source

CNN-LSTM optimized with SWATS for accurate state-of-charge estimation in lithium-ion batteries considering internal resistance. [PDF]

Sci Rep
Zhang Z, Liu C, Li T, Wang T, Cui Y, Zhao P.   +5 more
europepmc   +1 more source

Photocatalytic Versus Stoichiometric Hydrogen Generation Using Mesoporous Silicon Catalysts: The Complex Role of Sacrificial Reagents

Advanced Functional Materials, EarlyView.
This study highlights the importance of accounting for stoichiometric hydrogen produced when utilizing Si photocatalysts. The stoichiometric contribution is sacrificial reagent dependent and decreases with increasing sterics around the catalyst surface.
Sarrah H. Putwa, Sarah A. Martell, Berthold Reis, Simona Schwarz, Mita Dasog   +4 more
wiley   +1 more source

State-of-Charge Estimation of Medium- and High-Voltage Batteries Using LSTM Neural Networks Optimized with Genetic Algorithms. [PDF]

Sensors (Basel)
Carrera R, Quiroz L, Guevara C, Acosta-Vargas P.   +3 more
europepmc   +1 more source

Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions

Advanced Functional Materials, EarlyView.
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian, Jingkai Lin, Zhihao Tian, Selusiwe Ncube, Huayang Zhang, Emiliano Cortés, Hongqi Sun, Shaobin Wang   +7 more
wiley   +1 more source

Enhanced state of charge estimation in electric vehicle batteries using chicken swarm optimization with open ended learning. [PDF]

Sci Rep
Afzal MZ, Wen F, Saeed N, Aurangzeb M.
europepmc   +1 more source

Tuning the Dielectric Properties of Individual Clay Nanosheets by Interlayer Composition: Toward Nano‐Electret Materials

Advanced Functional Materials, EarlyView.
The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich, Paul Markus, Matthias Stöter, Bernhard Biersack, Rainer Schobert, Josef Breu, Georg Papastavrou   +6 more
wiley   +1 more source

An Enhanced Cascaded Deep Learning Framework for Multi-Cell Voltage Forecasting and State of Charge Estimation in Electric Vehicle Batteries Using LSTM Networks. [PDF]

Sensors (Basel)
Pourbunthidkul S, Pahaisuk N, Laon P, Houngkamhang N, Phasukkit P.   +4 more
europepmc   +1 more source

Defect Analysis of the β– to γ–Ga2O3 Phase Transition

Advanced Functional Materials, EarlyView.
The role of defects at all the relevant stages of the β$\beta$‐ to γ$\gamma$‐Ga2O3 polymorph transition is investigated using a multi method approach. The positron annihilation spectroscopy based results show that the defect density decreases after the transition, and that changes in defect configuration within the γ phase occur with increasing ...
Umutcan Bektas, Maciej O. Liedke, Huan Liu, Fabian Ganss, Maik Butterling, Nico Klingner, René Hübner, Ilja Makkonen, Andreas Wagner, Gregor Hlawacek   +9 more
wiley   +1 more source

Deep learning-based state of charge estimation for electric vehicle batteries: Overcoming technological bottlenecks. [PDF]

Heliyon
Lin SL.
europepmc   +1 more source