Publications by authors named "M Eikerling"

Article Synopsis
  • Polymer-electrolyte fuel cells operating above 100 °C improve water management and simplify system design compared to traditional electrolytes, such as fluoropolymers.
  • The study investigates the vibrational spectra of the protic ionic liquid diethylmethylammonium triflate ([DEMA][TfO]) to better understand its ionic interactions and the nature of its infrared (IR) spectrum.
  • The research resolves the unclear double peak feature in high-frequency modes, attributing it to the different orientations of cations and anions, with insights gained from simulations of the ionic liquid as a continuous fluid.
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Article Synopsis
  • Electrocatalytic reactions are crucial for energy transition, occurring in a nanoscale electric double layer (EDL) at the solid-liquid interface, yet traditional analysis often overlooks critical electrolyte effects.
  • There is increasing recognition that the local reaction environment (LRE) within the EDL significantly influences these reactions, prompting researchers to focus on designing specific electrolyte properties.
  • A hierarchical theoretical framework is proposed to address the complexities of electrocatalytic processes, incorporating various scales of phenomena and multistep kinetics for improved understanding and development of tailored electrocatalysts.
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In pursuit of a sustainable future powered by renewable energy, hydrogen production through water splitting should achieve high energy efficiency with economical materials. Here, we present a nanofluidic electrolyzer that leverages overlapping cathode and anode electric double layers (EDLs) to drive the splitting of pure water. Convective flow is introduced between the nanogap electrodes to suppress the crossover of generated gases.

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The ever-increasing utility of imaging technology in proton exchange membrane water electrolyzer research raises the demand for rapid and precise image analysis. In particular, for optical video recordings, the challenge primarily lies in the large number of frames that impede the delineation of bubble dynamics with standard methods. In order to address this problem, the present study supports the automation of data analysis to facilitate swift, comprehensive, and measurable insights from captured imagery.

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We propose a way for obtaining a classical free energy density functional for electrolytes based on a first-principle many-body partition function. Via a one-loop expansion, we include coulombic correlations beyond the conventional mean-field approximation. To examine electrochemical interfaces, we integrate the electrolyte free energy functional into a hybrid quantum-classical model.

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