International audienceAtomistic modelling of electrified interfaces remains a major issue for detailed insights in electrocatalysis, corrosion, electrodeposition, batteries and related devices such as pseudocapacitors. In these domains, the use of grand-canonical density functional theory (GC-DFT) in combination with implicit solvation models has become popular. GC-DFT can be conveniently applied not only to metallic surfaces, but also to semi-conducting oxides and sulfides and is, furthermore, sufficiently robust to achieve a consistent description of reaction pathways. However, the accuracy of implicit solvation models for solvation effects at interfaces is in general unknown. One promising way to overcome the limitations of implicit solv...
Progress in electrochemical technologies, such as automotive batteries, supercapacitors, and fuel ce...
A hybrid density–potential functional of an electrochemical interface that encompasses major effects...
Implicit solvation is an effective, highly coarse-grained approach in atomic-scale simulations to ac...
International audienceAtomistic modelling of electrified interfaces remains a major issue for detail...
International audienceElectrified interfaces play a central role in energy technologies, from batter...
We discuss grand canonical simulations based on density-functional theory to study the thermodynamic...
International audienceElectrified interfaces play a prime role in energy technologies, from batterie...
In this thesis, I have worked with solid-liquid interfaces, adsorbed molecules on the surface, and s...
Properties of solid-liquid interfaces are of immense importance for electrocatalytic and electrochem...
Properties of solid-liquid interfaces are of immense importance for electrocatalytic and electrochem...
Electrocatalysis plays a key role in sustainable energy conversion and storage. Although tremendous ...
Understanding the complex and inherently multi-scale interface between a charged electrode surface a...
Electrosorption of solvated species at metal electrodes is a most fundamental class of processes in ...
The complexity of electrochemical interfaces has led to the development of several approximate densi...
The computational modeling of electrochemical interfaces and their applications in electrocatalysis ...
Progress in electrochemical technologies, such as automotive batteries, supercapacitors, and fuel ce...
A hybrid density–potential functional of an electrochemical interface that encompasses major effects...
Implicit solvation is an effective, highly coarse-grained approach in atomic-scale simulations to ac...
International audienceAtomistic modelling of electrified interfaces remains a major issue for detail...
International audienceElectrified interfaces play a central role in energy technologies, from batter...
We discuss grand canonical simulations based on density-functional theory to study the thermodynamic...
International audienceElectrified interfaces play a prime role in energy technologies, from batterie...
In this thesis, I have worked with solid-liquid interfaces, adsorbed molecules on the surface, and s...
Properties of solid-liquid interfaces are of immense importance for electrocatalytic and electrochem...
Properties of solid-liquid interfaces are of immense importance for electrocatalytic and electrochem...
Electrocatalysis plays a key role in sustainable energy conversion and storage. Although tremendous ...
Understanding the complex and inherently multi-scale interface between a charged electrode surface a...
Electrosorption of solvated species at metal electrodes is a most fundamental class of processes in ...
The complexity of electrochemical interfaces has led to the development of several approximate densi...
The computational modeling of electrochemical interfaces and their applications in electrocatalysis ...
Progress in electrochemical technologies, such as automotive batteries, supercapacitors, and fuel ce...
A hybrid density–potential functional of an electrochemical interface that encompasses major effects...
Implicit solvation is an effective, highly coarse-grained approach in atomic-scale simulations to ac...