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Št. zadetkov: 21
Enhanced electrochemical dissolution of iridium oxide in acidic electrolytes through presence of metal ions
Raghunandan Sharma, Per Morgen, Darko Makovec, Sašo Gyergyek, Shuang Ma Andersen
Izvirni znanstveni članek
Oznake: elektrokatalizatorji;electrocatalysts;oxygen evolution reaction;acidic environment;
Nanoparticulate Ir-oxides are frequently used as highly active and robust anode electrocatalysts for acidic water electrolyzers. While their dissolution during the electrolyzer operation is unsought, it could be a green route for recovery of Ir from the spent electrodes. In this study, we explore su ...
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Protocol for the ex-situ electrochemical performance evaluation of the high-temperature pemfc electrodes
Rajan Ma Maurya, Per Morgen, Sašo Gyergyek, Shuang Ma Andersen
Izvirni znanstveni članek
Oznake: elektrokatalizatorji;HT-PEMFC GDE;electrocatalysts;accelerated stress test;
Effect of pre-wetting on catalyst utilization and durability of high-temperature proton exchange membrane fuel cell (HT-PEMFC) gas diffusion electrodes (GDEs) was investigated in a three-electrode configuration. Pre-wetting protocols included treatment in ethanol-water mixture (0, 10, 50 and 100 % v ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
Selection on antimony-doped tin oxide (ATO) as an efficient support for iridium-based oxygen evolution reaction (OER) catalyst in acidic media
Ikhlas Ahmad Khan, Per Morgen, Sašo Gyergyek, Raghunandan Sharma, Shuang Ma Andersen
Izvirni znanstveni članek
Oznake:
Reducing the iridium content while preserving high OER activity is an important prerequisite for the progress of inexpensive anodic water splitting electrocatalysts in low pH medium. Here we report the effects of bulk and surface structures of antimony doped tin oxide (ATO) supports on the ATO suppo ...
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
IrO[sub]2/Ir composite nanoparticles (IrO[sub]2@Ir) supported on TiN[sub]xO[sub]y coated TiN
Swapnil Sanjay Karade, Raghunandan Sharma, Sašo Gyergyek, Per Morgen, Shuang Ma Andersen
Izvirni znanstveni članek
Oznake:
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Microwaves assisted synthesis of IrRu alloy nanoparticles for acidic oxygen evolution reaction
Inayat Ali Khan, Per Morgen, Sašo Gyergyek, Raghunandan Sharma, Shuang Ma Andersen
Izvirni znanstveni članek
Oznake: elektrokatalizator;elektroliza vode;electrocatalyst;acidic oxygen evolution reaction;water electrolysis;durability;
Under the background of renewable hydrogen generation through proton exchange membrane water electrolysis, here we report highly efficient and stable iridium (Ir) and ruthenium (Ru) alloy based electrocatalysts for the acidic OER. The electrocatalysts were synthesized by a facile microwave-assisted ...
Leto: 2025 Vir: Institut Jožef Stefan (IJS)
Hydrolysis synthesis of iridium oxide (IrO[sub]x) on carbon for acidic oxygen evolution
Swapnil Sanjay Karade, Raghunandan Sharma, Sašo Gyergyek, Per Morgen, Bettina Pilgaard Andersen, Martin Aaskov Karlsen, Dorthe Ravnsbæk, Shuang Ma Andersen
Izvirni znanstveni članek
Oznake: iridijev oksid;stabilnost;iridium oxide;oxygen evolution reaction;carbon support;stability;
The development of efficient and durable oxygen evolution reaction (OER) electrocatalysts is critical for advancing proton exchange membrane water electrolyzers (PEMWEs). This study presents a nanostructured iridium oxide anchored on high-surface-area carbon (IrOx/C) OER electrocatalyst, synthesized ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
Heterogenous Graph Mining for Measuring the Impact of Research Institutions
Shuang Qiu
Video in druga učna gradiva
Oznake: computer science;data science
Leto: 2016 Vir: videolectures.net
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Shuang-Hong Yang
Video in druga učna gradiva
Oznake:
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn features that account for both types of information based on variational optimization of nonparametric learning criteria. U ...
Leto: 2009 Vir: videolectures.net
Large Scale High-Precision Topic Modeling on Twitter
Shuang-Hong Yang
Video in druga učna gradiva
Oznake: computer science;data mining;knowledge extraction
We are interested in organizing a continuous stream of sparse and noisy texts, known as "tweets", in real time into an ontology of hundreds of topics with measurable and stringently high precision. This inference is performed over a full-scale stream of Twitter data, whose statistical distribution e ...
Leto: 2014 Vir: videolectures.net
Named Entity Mining from Click-Through Data Using Weakly Supervised Latent Dirichlet Allocation
Shuang-Hong Yang , Gu Xu
Video in druga učna gradiva
Oznake: computer science;text mining
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially useful in many applications including web search, online advertisement, and recommender system. There are three challenges f ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 21
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