This work demonstrates the systematic prediction of thermodynamic properties for batches of thousands of molecules using automated procedures. This is accomplished with newly developed tools and functions within the Material Exploration and Design Analysis (MedeA®) software environment, which handle the automatic execution of sequences of tasks for large numbers of molecules including the creation of 3D molecular models from 1D representations, systematic exploration of possible conformers for each molecule, the creation and submission of computational tasks for property calculations on parallel computers, and the post-processing for comparison with available experimental properties. After the description of the different MedeA® functionali...
We developed a database of 2869 experimental values of enthalpy of formation and 1403 values for ent...
One of the central concerns of computational chemistry is that of efficiency (i.e. the development o...
ABSTRACT: Simultaneously accurate and efficient prediction of molecular properties throughout chemic...
This work demonstrates the systematic prediction of thermodynamic properties for batches of thousand...
A parametrization strategy for molecular models on the basis of force fields is proposed, which allo...
Historically, reliable data for the thermophysical properties of fluids could only be obtained from ...
Knowledge of the thermochemistry of molecules is of major importance in the chemical sciences and is...
This dissertation presents the results of atomistic molecular simulations. Therefor systems of varyi...
Statistical Thermodynamics and Molecular Simulation aim at describing the properties of systems that...
Large scale quantum calculations for molar enthalpy of formation (Delta(f) H-0), standard entropy (S...
A selection of several aromatic molecules, representative of the important class of heterocyclic com...
Computational quantum mechanics is leading to new, theoretically based methods for the prediction of...
Simulations allow us to predict free energies and physical properties of molecules in advance of the...
Thermodynamic data are key in the understanding and design of chemical processes. Next to the experi...
The value of fine and specialty chemicals is often determined by the specific requirements in their ...
We developed a database of 2869 experimental values of enthalpy of formation and 1403 values for ent...
One of the central concerns of computational chemistry is that of efficiency (i.e. the development o...
ABSTRACT: Simultaneously accurate and efficient prediction of molecular properties throughout chemic...
This work demonstrates the systematic prediction of thermodynamic properties for batches of thousand...
A parametrization strategy for molecular models on the basis of force fields is proposed, which allo...
Historically, reliable data for the thermophysical properties of fluids could only be obtained from ...
Knowledge of the thermochemistry of molecules is of major importance in the chemical sciences and is...
This dissertation presents the results of atomistic molecular simulations. Therefor systems of varyi...
Statistical Thermodynamics and Molecular Simulation aim at describing the properties of systems that...
Large scale quantum calculations for molar enthalpy of formation (Delta(f) H-0), standard entropy (S...
A selection of several aromatic molecules, representative of the important class of heterocyclic com...
Computational quantum mechanics is leading to new, theoretically based methods for the prediction of...
Simulations allow us to predict free energies and physical properties of molecules in advance of the...
Thermodynamic data are key in the understanding and design of chemical processes. Next to the experi...
The value of fine and specialty chemicals is often determined by the specific requirements in their ...
We developed a database of 2869 experimental values of enthalpy of formation and 1403 values for ent...
One of the central concerns of computational chemistry is that of efficiency (i.e. the development o...
ABSTRACT: Simultaneously accurate and efficient prediction of molecular properties throughout chemic...