People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Navarra, Maria Assunta
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (15/15 displayed)
- 2024Developing Innovative Apolar Gels Based on Cellulose Derivatives for Cleaning Metal Artworkscitations
- 2024Evidence of the Electrochemical Ca2+ Intercalation in Anatase Nanotubes
- 2024Evidence of the Electrochemical Ca$^{2+}$ Intercalation in Anatase Nanotubes
- 2024Composite anion exchange membranes based on graphene oxide for water electrolyzer applicationscitations
- 2024CeO2/rGO co-catalysts for PEMFCs
- 2024CeO2/rGO catalysts for PEMFCs
- 2024Insight into physico-chemical properties of oxalatoborate-based ionic liquids through combined experimental-theoretical characterization
- 2023Quasi-solid-state electrolytes - strategy towards stabilising Li|inorganic solid electrolyte interfaces in solid-state Li metal batteriescitations
- 2023Effects of Difluoro(oxalato)borate-Based Ionic Liquid as Electrolyte Additive for Li-Ion Batteriescitations
- 2023Metal Carbide Additives in Graphite‐Silicon Composites for Lithium‐Ion Batteriescitations
- 2023Metal carbide additives in graphite-silicon composites for lithium-ion batteriescitations
- 2021Emerging calcium batteriescitations
- 2016Quaternary polyethylene oxide electrolytes containing ionic liquid for lithium polymer batterycitations
- 2014In-situ gelled electrolyte for lithium battery: Electrochemical and Raman characterizationcitations
- 2013Adaptive neuro-fuzzy inference system and artificial neural network modeling of proton exchange membrane fuel cells based on nanocomposite and recast Nafion membranescitations
Places of action
Organizations | Location | People |
---|
article
Adaptive neuro-fuzzy inference system and artificial neural network modeling of proton exchange membrane fuel cells based on nanocomposite and recast Nafion membranes
Abstract
PEMFCs based on nanocomposite and recast Nafion membranes