Global ETD Search

1	Intermolecular energy scales based on aromatic ethers and alcohols Poblotzki, Anja 20 March 2019 (has links) No description available. 540 molecular clusters vibrational spectroscopy intermolecular interactions hydrogen bonds London dispersion quantum chemistry supersonic expansions Chemie (PPN62138352X)
2	Long-Range Interactions in Biomolecular-Inorganic Assemblies Dryden, Daniel M. 29 August 2014 (has links) No description available. Materials Science Nanoscience Long-range interactions van der Waals-London dispersion optical properties spectroscopy biomaterials mesoscale self-assembly
3	Computational modelling of intermolecular interactions in bio, organic and nano molecules Ramraj, Anitha January 2011 (has links) We have investigated the noncovalent interactions in carbohydrate-aromatic interactions which are pivotal to the recognition of carbohydrates in proteins. We have employed quantum mechanical methods to study carbohydrate-aromatic complexes. Due to the importance of dispersion contribution to the interaction energy, we mainly use density functional theory augmented with an empirical correction for the dispersion interactions (DFT-D). We have validated this method with a limited number of high level ab initio calculations. We have also analysed the vibrational and NMR chemical shift characteristics using the DFT-D method. We have mainly studied the complexes involving β-glucose with 3-methylindole and p-hydroxytoluene, which are analogues of tryptophan and tyrosine, respectively. We find that the contribution for interaction energy mainly comes from CH/π and OH/π interactions. We find that the interaction energy of complexes involving CH/π and OH/π interactions is reflected in the associated blue and red shifts of vibrational spectrum. We also find that the interactions involving 3-methylindole are somewhat greater than those for p-hydroxytoluene. The C-H blueshifts are also in parallel with the predicted NMR proton shift. We have also tested different density functionals including both standard density functionals and newly developed M0x functionals and MP2 method for studying carbohydrate-aromatic complexes. The DFT-D method and M06 functionals of the M0x family are found to perform better, while B3LYP and BLYP functionals perform poorly. We find that the inclusion of a dispersion term to BLYP is found to perform better. The dispersion energy dominates over the interaction energy of carbohydrate-aromatic complexes. From the DFT-D calculations, we found that the complexes would be unstable without the contribution from dispersive energy. We have also studied the importance of noncovalent interactions in functionalization of nanotubes by nucleic acid bases and aromatic amino acids by using semi-empirical methods with dispersion term such asPM3-D and PM3-D*. We find that the both semi-empirical schemes give reasonable interaction energies with respect to DFT-D interaction energies. We have also used PM3-D method to study the adsorption of organic pollutants on graphene sheet and on nanotubes. We found that the semi-empirical schemes, which are faster and cheaper, are suitable to study these larger molecules involving noncovalent interactions and can be used as an alternative to DFT-D method. We have also studied the importance of dispersion interaction and the effect of steric hindrance in aggregation of functionalized anthracenes and pentacenes. We have also employed molecular dynamics simulation methods to study the aggregation of anthracene molecules in toluene solution. 547.13
4	IR-Untersuchung von schwach gebundenen Molekülaggregaten im Überschallstrahl / IR investigation of weakly bound molecular clusters in the supersonic jet Gottschalk, Hannes Christian 29 September 2020 (has links) No description available. 540 Schwingungsspektroskopie Intermolekulare Wechselwirkungen Wasserstoffbrückenbindungen London'sche Dispersion Molekülaggregate Überschallexpansionen Quantenchemie Benchmarking vibrational spectroscopy intermolecular interactions hydrogen bonding London dispersion molecular clusters supersonic expansions quantum chemistry benchmarking Chemie (PPN62138352X)
5	Modélisation quantochimiques des forces de dispersion de London par la méthode des phases aléatoires (RPA) : développements méthodologiques / Quantum chemical studies of London dispersion forces by the random phase approximation (RPA) : methodological developments. Mussard, Bastien 13 December 2013 (has links) Dans cette thèse sont montrés des développements de l'approximation de la phase aléatoire (RPA) dans le contexte de théories à séparation de portée. On présente des travaux sur le formalisme de la RPA en général, et en particulier sur le formalisme "matrice diélectrique" qui est exploré de manière systématique. On montre un résumé d'un travail sur les équations RPA dans le contexte d'orbitales localisées, notamment des développements des orbitales virtuelles localisées que sont les "orbitales oscillantes projetées" (POO). Un programme a été écrit pour calculer des fonctions telles que le trou de d'échange, la fonction de réponse, etc... sur des grilles de l'espace réel (grilles parallélépipédiques ou de type "DFT"). On montre certaines de ces visualisations. Dans l'espace réel, on expose une adaptation de l'approximation du dénominateur effectif (EED), développée originellement dans l'espace réciproque en physique du solide. Également, les gradients analytiques des énergies de corrélation RPA dans le contexte de la séparation de portée sont dérivés. Le formalisme développé ici à l'aide d'un lagrangien permet une dérivation tout-en-un des termes courte- et longue-portée qui émergent dans les expressions du gradient, et qui montrent un parallèle intéressant. Des applications sont montrées, telles que des optimisations de géométries aux niveaux RSH-dRPA-I et RSH-SOSEX d'un ensemble de 16 petites molécules, ou encore le calcul et la visualisation des densités corrélées au niveau RSH-dRPA-I / In this thesis are shown developments in the random phase approximation (RPA) in the context of range-separated theories. We present advances in the formalism of the RPA in general, and particularly in the "dielectric matrix" formulation of RPA, which is explored in details. We show a summary of a work on the RPA equations with localized orbitals, especially developments of the virtual localized orbitals that are the "projected oscillatory orbitals" (POO). A program has been written to calculate functions such as the exchange hole, the response function, etc... on real space grid (parallelepipedic or of the "DFT" type) ; some of those visualizations are shown here. In the real space, we offer an adaptation of the effective energy denominator approximation (EED), originally developed in the reciprocal space in solid physics. The analytical gradients of the RPA correlation energies in the context of range separation has been derived. The formalism developed here with a Lagrangian allows an all-in-one derivation of the short- and long-range terms that emerge in the expressions of the gradient. These terms show interesting parallels. Geometry optimizations at the RSH-dRPA-I and RSH-SOSEX levels on a set of 16 molecules are shown, as well as calculations and visualizations of correlated densities at the RSH-dRPA-I level Énergie de corrélation Interaction de Van der Waals Force de dispersion de London DFT Séparation de portée RSH Approximation de la phase aléatoire RPA Connexion adiabatique Matrice diélectrique Formule de plasmon Équation de Riccati Orbitale oscillante projetée POO Développement multipolaire Grille de l'espace réel Dénominateur effectif EED Règles de somme Gradient analytique Lagrangien Coupled-perturbed Densité corrélée Optimisation de géométrie Correlation energy Van der Waals interaction London dispersion force Density functional theory DFT Range separation RSH Random phase approximation RPA Adiabatic connection Dielectric matrix Plasmon formula Riccati equation Projected oscillatory orbital POO Multipolar expansion Real space grid Effective energy denominator EED Sum-rules Analytical gradient Lagrangian Coupled-perturbed Correlated densities Geometry optimization 541.28

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