Continuum models to handle solvent and electrolyte effects in an effective way have a long tradition in quantum-chemistry simulations and are nowadays also being introduced in computational condensed-matter and materials simulations. A key ingredient of continuum models is the choice of the solute cavity, i.e., the definition of the sharp or smooth boundary between the regions of space occupied by the quantum-mechanical (QM) system and the continuum embedding environment. The cavity, which should really reflect the region of space accessible to the degrees of freedom of the environmental components (the solvent), is usually defined by an exclusion approach in terms of the degrees of freedom of the system (the solute), typically, the atomic ...
Molecular modeling is nowadays a well-established analytical tool exactly as spectroscopies or othe...
In continuum solvation models the definition of a cavity that embeds the solute molecule leads to pr...
Quantum refinement has repeatedly been shown to be a powerful approach to interpret and improve macr...
Continuum models to handle solvent and electrolyte effects in an effective way have a long tradition...
We present an integrated QM/classical approach to treat solvation at diffuse solvent surfaces and in...
Continuum models of solvation are widespread tools for the prediction of solvation free energies of ...
We present a multiwavelet-based implementation of a quantum/classical polarizable continuum model. T...
We present a new continuum solvation model based on the quantum mechanical charge density of a solut...
We present a new continuum solvation model based on the quantum mechanical charge density of a solut...
We present an implicit solvation approach where the interface between the quantum-mechanical solute ...
The following article has been accepted by The Journal of Chemical Physics. After it is published, i...
Physically accurate continuum solvent models that can calculate solvation energies are crucial to ex...
The following article has been accepted by The Journal of Chemical Physics. After it is published, i...
Quantum chemical calculations on quantum computers have been focused mostly on simulating molecules ...
Continuum solvation methods can provide an accurate and inexpensive embedding of quantum simulations...
Molecular modeling is nowadays a well-established analytical tool exactly as spectroscopies or othe...
In continuum solvation models the definition of a cavity that embeds the solute molecule leads to pr...
Quantum refinement has repeatedly been shown to be a powerful approach to interpret and improve macr...
Continuum models to handle solvent and electrolyte effects in an effective way have a long tradition...
We present an integrated QM/classical approach to treat solvation at diffuse solvent surfaces and in...
Continuum models of solvation are widespread tools for the prediction of solvation free energies of ...
We present a multiwavelet-based implementation of a quantum/classical polarizable continuum model. T...
We present a new continuum solvation model based on the quantum mechanical charge density of a solut...
We present a new continuum solvation model based on the quantum mechanical charge density of a solut...
We present an implicit solvation approach where the interface between the quantum-mechanical solute ...
The following article has been accepted by The Journal of Chemical Physics. After it is published, i...
Physically accurate continuum solvent models that can calculate solvation energies are crucial to ex...
The following article has been accepted by The Journal of Chemical Physics. After it is published, i...
Quantum chemical calculations on quantum computers have been focused mostly on simulating molecules ...
Continuum solvation methods can provide an accurate and inexpensive embedding of quantum simulations...
Molecular modeling is nowadays a well-established analytical tool exactly as spectroscopies or othe...
In continuum solvation models the definition of a cavity that embeds the solute molecule leads to pr...
Quantum refinement has repeatedly been shown to be a powerful approach to interpret and improve macr...