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Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance Fuzzy inference system generation and cell power density optimization
Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance Fuzzy inference system generation and cell power density optimization
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Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance Fuzzy inference system generation and cell power density optimization

Deborah S.B.L. Oliveira Flavio Colmati; Ernesto R Gonzalez; Ruy de Sousa Junior

International Journal of Hydrogen Energy London: Elsevier Ltd v.48, n.63, p.24481-24491, 2023

London 2023

Localização: IQSC - Inst. Química de São Carlos    (P20654 )(Acessar)

2
Enhanced power generation, faster transient response and longer durability of HT-PEMFC using composite polybenzimidazole electrolyte membrane with optimum rGO loading
Enhanced power generation, faster transient response and longer durability of HT-PEMFC using composite polybenzimidazole electrolyte membrane with optimum rGO loading
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Enhanced power generation, faster transient response and longer durability of HT-PEMFC using composite polybenzimidazole electrolyte membrane with optimum rGO loading

Ghosh, Priyanka ; Mandal, Sayantanu ; Majumdar, Sayani ; Sarkar, Arundhati ; Ganguly, Saibal ; Kargupta, Kajari

International journal of hydrogen energy, 2020-06, Vol.45 (33), p.16708-16723 [Periódico revisado por pares]

Elsevier Ltd

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3
Hydrogen storage in branch mini-channel metal hydride reactor: Optimization design, sensitivity analysis and quadratic regression
Hydrogen storage in branch mini-channel metal hydride reactor: Optimization design, sensitivity analysis and quadratic regression
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Hydrogen storage in branch mini-channel metal hydride reactor: Optimization design, sensitivity analysis and quadratic regression

Wang, Di ; Wang, Yuqi ; Wang, Feng ; Zheng, Shuaishuai ; Guan, Sinan ; Zheng, Lan ; Wu, Le ; Fang, Tao ; Yang, Xin ; Lv, Ming

International journal of hydrogen energy, 2021-07, Vol.46 (49), p.25189-25207 [Periódico revisado por pares]

Elsevier Ltd

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4
Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization
Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization
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Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization

Oliveira, Deborah S.B.L. ; Colmati, Flavio ; Gonzalez, Ernesto R. ; de Sousa Junior, Ruy

International journal of hydrogen energy, 2023-07, Vol.48 (63), p.24481-24491 [Periódico revisado por pares]

Elsevier Ltd

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5
Nonlinear frequency response analysis of dehydration phenomena in polymer electrolyte membrane fuel cells
Nonlinear frequency response analysis of dehydration phenomena in polymer electrolyte membrane fuel cells
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Nonlinear frequency response analysis of dehydration phenomena in polymer electrolyte membrane fuel cells

Kadyk, Thomas ; Hanke-Rauschenbach, Richard ; Sundmacher, Kai

International journal of hydrogen energy, 2012-05, Vol.37 (9), p.7689-7701 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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6
Design of experiments for fitting regression models on the tubular SOFC CHP 100 kW e : Screening test, response surface analysis and optimization
Design of experiments for fitting regression models on the tubular SOFC CHP 100 kW e : Screening test, response surface analysis and optimization
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Design of experiments for fitting regression models on the tubular SOFC CHP 100 kW e : Screening test, response surface analysis and optimization

Calı`, M. ; Santarelli, M.G.L. ; Leone, P.

International journal of hydrogen energy, 2007, Vol.32 (3), p.343-358 [Periódico revisado por pares]

Elsevier Ltd

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7
Energy and exergy analysis and optimization of biomass gasification process for hydrogen production (based on air, steam and air/steam gasifying agents)
Energy and exergy analysis and optimization of biomass gasification process for hydrogen production (based on air, steam and air/steam gasifying agents)
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Energy and exergy analysis and optimization of biomass gasification process for hydrogen production (based on air, steam and air/steam gasifying agents)

Samimi, Fereshteh ; Marzoughi, Tayebeh ; Rahimpour, Mohammad Reza

International journal of hydrogen energy, 2020-11, Vol.45 (58), p.33185-33197 [Periódico revisado por pares]

Elsevier Ltd

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8
Thermodynamic analysis of methanol steam reforming to produce hydrogen for HT-PEMFC: An optimization study
Thermodynamic analysis of methanol steam reforming to produce hydrogen for HT-PEMFC: An optimization study
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Thermodynamic analysis of methanol steam reforming to produce hydrogen for HT-PEMFC: An optimization study

Özcan, Orhan ; Akın, Ayşe Nilgün

International journal of hydrogen energy, 2019-05, Vol.44 (27), p.14117-14126 [Periódico revisado por pares]

Elsevier Ltd

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9
Thermogravimetric-infrared analysis and performance optimization of co-pyrolysis of oily sludge and rice husks
Thermogravimetric-infrared analysis and performance optimization of co-pyrolysis of oily sludge and rice husks
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Thermogravimetric-infrared analysis and performance optimization of co-pyrolysis of oily sludge and rice husks

Xu, Guiying ; Cai, Xinghui ; Wang, Li ; Zhang, Qi ; Fang, Baizeng ; Zhong, Xiaohan ; Yao, Jingang

International journal of hydrogen energy, 2022-07, Vol.47 (64), p.27437-27451 [Periódico revisado por pares]

Elsevier Ltd

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10
Kinetics analysis of direct reduction of iron ore by hydrogen in fluidized bed based on response surface methodology
Kinetics analysis of direct reduction of iron ore by hydrogen in fluidized bed based on response surface methodology
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Kinetics analysis of direct reduction of iron ore by hydrogen in fluidized bed based on response surface methodology

Zhang, Jiehan ; Li, Shiyuan ; Wang, Linwei

International journal of hydrogen energy, 2024-01, Vol.49, p.1318-1331 [Periódico revisado por pares]

Elsevier Ltd

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Deste Autor:

  1. Gonzalez, E
  2. Colmati, F
  3. Sousa Junior, R
  4. Oliveira, D

Neste Assunto:

  1. Electrochemistry
  2. Physical Sciences
  3. Chemistry
  4. Science & Technology
  5. Technology

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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