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B. Groß

Researcher at Saarland University

Publications -  5
Citations -  102

B. Groß is an academic researcher from Saarland University. The author has contributed to research in topics: Vapour pressure of water & Hydrogen. The author has an hindex of 3, co-authored 4 publications receiving 97 citations.

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Journal ArticleDOI

Synthesis and characterization of catalyst layers for direct methanol fuel cell applications

TL;DR: In this paper, a preparation method for catalyst layers of platinum nanoparticles, as used in direct methanol fuel cells, based on pulsed electrochemical deposition within the three phase boundary regions responsible for electrochemical reactions, was developed.
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BaZr0.85Me0.15O2.925 (Me=Y, In and Ga): crystal growth, high-resolution transmission electron microscopy, high-temperature X-ray diffraction and neutron scattering experiments

TL;DR: In this paper, high-resolution transmission electron microscopy (HR-TEM) and X-ray spectrochemical analysis were applied to investigate morphological and structural parameters of the nanosized ceramics.
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Proton conducting Ba3Ca1.18Nb1.82O8.73–H2O: pressure–compositions isotherms in terms of Fermi-Dirac statistics, concentration and fuel-cell measurements, and impedance spectroscopy

TL;DR: In this article, the hydrogen content of Ba3Ca1.18Nb1.82O8.73 was determined ex situ at room temperature using nuclear resonance reaction analysis.
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Pressure/composition isotherms of proton conducting SrYb0.05Zr0.95O2.975/H2O by means of nuclear resonance reaction analysis

TL;DR: In this article, two hydrogen fractions with a site energy difference of 20 kJ/mol were observed below a thickness of 350 nm: nanofilms exhibit higher solubility than bulk material.
Book ChapterDOI

hILDe: AI-Empowered Monitoring System for Vanadium Redox Flow Batteries

TL;DR: In this paper , the authors present the project "hILDe - Novel, cost-effective and highly accurate indication of imbalance and state of charge of vanadium redox flow batteries using AI-assisted detection of specific colors" which features an absorbance sensor for chemical liquids and an AI-empowered monitoring system to interpret and predict sensory data.