The non-covalent interactions in organic molecules are known to drive their self-assembly to form molecular crystals. We compare, in the case of anthracene and against experimental (electronic-only) sublimation energy, how modern quantum-chemical methods are able to calculate this cohesive energy taking into account all the interactions between occurring dimers in both first-and second-shells. These include both O(N 6)- and O(N 5)-scaling methods, Local Pair Natural Orbital-parameterized Coupled-Cluster Single and Double, and Spin-Component-Scaled-Møller-Plesset perturbation theory at second-order, respectively, as well as the most modern family of conceived density functionals: double-hybrid expressions in several variants (B2-PLYP, mPW2-P...
A comparative analysis of the intermolecular energy for a data set including 60 molecular crystals w...
Here we present a comprehensive evaluation of a set of well-known all-atom force fields with the sco...
The combination of modern machine learning (ML) approaches with high-quality data from quantum mecha...
The non-covalent interactions in organic molecules are known to drive their self-assembly to form mo...
Non-covalent interactions pervade all matter and play a fundamental role in layered materials, biolo...
Standard implementations of density functional theory (DFT) describe well strongly bound molecules a...
We present an assessment of the performance of several force fields for modelling intermolecular int...
We investigate dispersion interactions in a selection of atomic, molecular, and molecule–surface sys...
We investigate the cohesive energy of crystalline coronene by the dispersion-corrected methods DFT-D...
We present a new method to calculate lattice and intermolecular interaction energies for molecular c...
The functionality of weakly bound organic materials, either in Nanoelectronics or in Materials Scien...
Quantum-mechanical methods are used for understanding molecular interactions throughout the natural ...
We introduce a system-independent method to derive effective atomic C6 coefficients and polarizabili...
Molecular crystals are a prototypical class of van der Waals (vdW) bound organic materials with exci...
Analysis of charge density distributions in molecular crystals has received considerable attention i...
A comparative analysis of the intermolecular energy for a data set including 60 molecular crystals w...
Here we present a comprehensive evaluation of a set of well-known all-atom force fields with the sco...
The combination of modern machine learning (ML) approaches with high-quality data from quantum mecha...
The non-covalent interactions in organic molecules are known to drive their self-assembly to form mo...
Non-covalent interactions pervade all matter and play a fundamental role in layered materials, biolo...
Standard implementations of density functional theory (DFT) describe well strongly bound molecules a...
We present an assessment of the performance of several force fields for modelling intermolecular int...
We investigate dispersion interactions in a selection of atomic, molecular, and molecule–surface sys...
We investigate the cohesive energy of crystalline coronene by the dispersion-corrected methods DFT-D...
We present a new method to calculate lattice and intermolecular interaction energies for molecular c...
The functionality of weakly bound organic materials, either in Nanoelectronics or in Materials Scien...
Quantum-mechanical methods are used for understanding molecular interactions throughout the natural ...
We introduce a system-independent method to derive effective atomic C6 coefficients and polarizabili...
Molecular crystals are a prototypical class of van der Waals (vdW) bound organic materials with exci...
Analysis of charge density distributions in molecular crystals has received considerable attention i...
A comparative analysis of the intermolecular energy for a data set including 60 molecular crystals w...
Here we present a comprehensive evaluation of a set of well-known all-atom force fields with the sco...
The combination of modern machine learning (ML) approaches with high-quality data from quantum mecha...