Results 21 to 30 of about 33,730 (224)

Heat and Mass Balance Analysis of 130-W Active-type Direct-methanol Fuel Cell

Electrochemistry, 2022
A “heat- and mass-balance analysis” for a direct-methanol fuel cell (DMFC) system, accounting for actual experimental data and the heat- and mass transfer of the DMFC, is proposed to facilitate the usage of general spreadsheet software.
Shinsuke ANDOH, Jun KAWAJI, Shuichi SUZUKI, Yoshiyuki KURODA, Shigenori MITSUSHIMA   +4 more
doaj   +1 more source

Performance of passive Direct Methanol Fuel Cell: modelling and experimental studies

U.Porto Journal of Engineering, 2015
Low methanol and water crossover with high methanol concentrations are essential requirements for a passive Direct Methanol Fuel Cell (DMFC) to be used in portable applications.
Beatriz A. Berns, Mariana F. Torres, Vânia B. Oliveira, Alexandra M. F. R. Pinto   +3 more
doaj   +1 more source

Reduced Graphene Oxide/Carbon Paper for the Anode Diffusion Layer of a Micro Direct Methanol Fuel Cell

Nanomaterials, 2022
The diffusion layer (DL) in the structure of the membrane electrode assembly (MEA) of a micro direct methanol fuel cell (μDMFC) plays an essential role in reactant/product mass transfer and catalyst loading. The material selection and structure design of
Dacheng Zhang, Kang Li, Ziten Wang, Zhengang Zhao   +3 more
doaj   +1 more source

Wormlike reverse micelles in lecithin/bile salt/water mixtures in oil [PDF]

, 2017
Knowing the ability of water and bile salts to promote the reverse wormlike micelle growth in lecithin/water or lecithin/bile salt mixtures in oil, this work was aimed at elucidating the association properties of the three solutes lecithin, water and the
Cautela, Jacopo, Galantini, Luciano, Giustini, Mauro, Palazzo, Gerardo, Pavel, Nicolae Viorel   +4 more
core   +1 more source

Enhanced Proton Conductivity and Methanol Permeability Reduction via Sodium Alginate Electrolyte-Sulfonated Graphene Oxide Bio-membrane

Nanoscale Research Letters, 2018
The high methanol crossover and high cost of Nafion® membrane are the major challenges for direct methanol fuel cell application. With the aim of solving these problems, a non-Nafion polymer electrolyte membrane with low methanol permeability and high ...
N. Shaari, S. K. Kamarudin, S. Basri, L. K. Shyuan, M. S. Masdar, D. Nordin   +5 more
doaj   +1 more source

Spatial Extent of Random Laser Modes [PDF]

, 2007
We have experimentally studied the distribution of the spatial extent of modes and the crossover from essentially single-mode to distinctly multimode behavior inside a porous gallium phosphide random laser.
Lagendijk, Ad, Molen, Karen L. van der, Mosk, Allard P., Tjerkstra, R. Willem   +3 more
core   +4 more sources

Proton transport for fuel cells [PDF]

, 2010
No ...
Haile, Sossina M., Pintauro, Peter N.
core   +1 more source

Vapor-feed direct methanol fuel cells using pure methanol

Energy Conversion and Management: X
This work optimizes the performance of the direct methanol fuel cell (DMFC) to increase its efficiency and strengthen its validity in portable power generation.
Ryan Spragg, Xianglin Li
doaj   +1 more source

Aqueous proton-selective conduction across two-dimensional graphyne

Nature Communications, 2019
Aqueous proton-selective membranes are vital for methanol fuel cells and flow batteries, but suffer from crossover issues. Here the authors use ab initio molecular dynamics simulations to show that graphyne is an ideal candidate for a proton-selective ...
Le Shi, Ao Xu, Ding Pan, Tianshou Zhao
doaj   +1 more source

Coherent control using adaptive learning algorithms

, 2001
We have constructed an automated learning apparatus to control quantum systems. By directing intense shaped ultrafast laser pulses into a variety of samples and using a measurement of the system as a feedback signal, we are able to reshape the laser ...
A. Assion, A. Haché, A. Nazarkin, A. P. Heberle, B. J. Pearson, C. J. Bardeen, D. Adler, D. Meshulach, D. Meshulach, D. N. Fittinghoff, E. J. T. Nibbering, G. Korn, J. J. Gerdy, J. L. White, J. Paye, J. X. Tull, L. Zhu, N. H. Bonadeo, P. Corkum, P. H. Bucksbaum, P. H. Bucksbaum, R. Judson, R. L. Carman, R. L. Carman, R. W. Hellwarth, T. Baumert, T. Baumert, T. C. Weinacht, T. C. Weinacht, T. C. Weinacht, T. Hornung, V. S. Malinovsky, Y. R. Shen   +32 more
core   +1 more source