Publications of Nicolas Hörmann
All genres
Journal Article (6)
2023
Journal Article
, , , , Jakob Filser, Nicolas Hörmann, Karsten Reuter and : Electroreduction of CO2 in a Non-aqueous Electrolyte-The Generic Role of Acetonitrile.
2022
Journal Article
Beinlich, Simeon, Nicolas Hörmann and Karsten Reuter: Field Effects at Protruding Defect Sites in Electrocatalysis at Metal Electrodes?
Journal Article
, Nicolas Hörmann, and Karsten Reuter: Implicit Solvation Methods for Catalysis at Electrified Interfaces.
2021
Journal Article
Dávila López, Alexandra, Thorben Eggert, Karsten Reuter and Nicolas Hörmann: Static and dynamic water structures at interfaces: A case study with focus on Pt(111).
Journal Article
Hörmann, Nicolas and Karsten Reuter: Thermodynamic Cyclic Voltammograms Based on Ab Initio Calculations: Ag(111) in Halide-Containing Solutions.
Journal Article
Hörmann, Nicolas and Karsten Reuter: Thermodynamic cyclic voltammograms: peak positions and shapes.
Talk (5)
2022
Talk
Hörmann, Nicolas: Field Effects at Protruding Defect Sites in Electrocatalysis at Metal Electrodes?
(FHI-Workshop on Current Research at the Interface of Physics and Chemistry, Potsdam, Germany, May 2022).
Talk
Hörmann, Nicolas: Resolving the Structure of Cu(100) in Iodine Containing Solutions.
(73rd Annual Meeting of the International Society of Electrochemistry, Online Event, Sep 2022).
Talk
Hörmann, Nicolas: Towards a Realistic Description of Electrified Solid-Liquid Interfaces.
(DPG Meeting of the Condensed Matter Section (SKM), Regensburg, Germany, Sep 2022).
2021
Talk
Hörmann, Nicolas: Theoretical Description of Non-nernstian Thermodynamic Cyclic Voltammograms.
(72nd Annual Meeting of the International Society of Electrochemistry, Online Event, Sep 2021).
2020
Talk
Hörmann, Nicolas: First-Principles Solvation Models for Electrochemistry at Extended Electrodes.
(FHI-Workshop on Current Research Topics at the FHI, Online Event, May 2020).
Thesis - Master (1)
2021
Thesis - Master
Bergmann, Nicolas: Investigation of oxidized Cu surfaces using Gaussian Approximation Potentials.