Global ETD Search

1	STRONG ELECTRON CORRELATION FROM PARTITION DENSITY FUNCTIONAL THEORY Yi Shi (16624725) 20 July 2023 (has links) <p>Despite the unprecedented success achieved by Kohn-Sham density functional theory (KS-DFT) in the past few decades, the standard approximations used for the KS exchange-correlation functional typically lead to unacceptably large errors when applied to strongly-correlated electronic systems. Partition-DFT (P-DFT) is a formally exact reformulation of KS-DFT in which the ground-state density and energy of a system are obtained through self-consistent calculations on isolated fragments, with a partition energy introduced to account for the inter-fragment interactions. The unique advantage of this partitioning scheme lies in the fact that it adopts the electron density of fragments as the main variable, in place of the density of the entire system in KS-DFT, so that novel approximations can be constructed in terms of fragment properties. With a simple overlap approximation (OA) of the partition energy proposed for binary-partitioned systems, P-DFT is able to rectify the static correlation error caused by standard density functional approximations for strongly-correlated diatomic molecules. In this work, we first implement P-DFT on a one-dimensional (1D) real-space grid and calculate the ground-state energy and density of a series of 1D hydrogen chains using the local density approximation (LDA) as the density functional approximation for fragments. We then propose the generalized overlap approximation (GOA) and the corrected generalized overlap approximation (cGOA), which extends the applicability of OA to systems partitioned into more than two fragments. Combining LDA with cGOA leads to quantitatively correct dissociation curves of hydrogen chains. The static correlation error of LDA is suppressed by cGOA in the strongly-correlation regime when the calculations are performed in a spin-restricted manner, i.e., without the spin symmetry breaking. Additionally, GOA induces an improvement of the ground-state density upon LDA results, and hence helps P-DFT provide a better description of the density dimerization in hydrogen chains.</p> Theoretical quantum chemistry Strong electron correlations
2	<i>COHERENT QUANTUM CONTROL AND QUANTUM </i><i>SIMULATION OF CHEMICAL REACTIONS</i> Sumit Suresh Kale (17743605) 18 March 2024 (has links) <p dir="ltr">This thesis explores the intersection of quantum interference, entanglement, and quantum algorithms in the context of chemical reactions. The initial exploration delves into the constructive quantum interference in the photoassociation reaction of a 87Rb Bose Einstein condensate (BEC), where a coherent superposition of multiple bare spin states is achieved and it’s impact on photo-association (PA) was studied. Employing a quantum processor, the study illustrates that interferences can function as a resource for coherent control in photochemical reactions, presenting a universally applicable framework relevant to a spectrum of ultracold chemical reactions. The subsequent inquiry scrutinizes the entanglement dynamics between the spin and momentum degrees of freedom in an optically confined BEC of 87Rb atoms, induced by Raman and RF fields. Significantly, this study unveils substantial spin momentum entanglement under specific experimental conditions, indicating potential applications in the realm of quantum information processing. Finally, the third study advances a quantum algorithm for the computation of scattering matrix elements in chemical reactions, adeptly navigating the complexities of quantum interactions. This algorithm, rooted in the time-dependent method and Möller operator formulation, is applied to scenarios such as 1D semi-infinite square well potentials and co-linear hydrogen exchange reactions, showcasing its potential to enhance our comprehension of intricate quantum interactions within chemical systems.</p> Computational chemistry Theoretical quantum chemistry quantum control techniques quantum simulation algorithms Quantum algorithms
3	Binucleating Ligands: Design and Reactivity Michael Behlen (8703033) 21 June 2022 (has links) <div><div><div><p>Pincer ligands are a cornerstone of modern transition metal catalysis. An increasing interest in bimetallic catalysis motivated us to develop binucleating variants of these mononucleating ligands. Expanded variants of the PDI and PyBOX ligands were targeted, leading to the development of the Naphthyridine Diimine (“NDI”) and Naphthyridine Bisoxazoline (“NapBOX”) ligands, respectively. Metalation of NDI with appropriate metal precursors yielded Fe2, Co2 and Ni2 complexes which exhibited unique stoichiometric and catalytic reactivity. Metalation of the NapBOX ligand with nickel carboxylate salts yielded Ni2 complexes which were capable of catalyzing an asymmetric intermolecular [4+1] cycloaddition reaction between 1,1-dichloroalkene-derived vinylidenes and 1,3-dienes. Each of these processes were studied experimentally and computationally in order to understand the fundamental reactivity of organic substrates across metal-metal bonds.</p></div></div></div> Organometallic chemistry Catalysis and mechanisms of reactions Computational chemistry Theoretical quantum chemistry Catalysis Catalytic cycles Bimetallic Dinuclear Nickel Ni2 NapBOX NDI Vinylidene Inorganic Chemistry Organic Chemistry Quantum Chemistry Organometallic Chemistry Computational Chemistry Catalysis and Mechanisms of Reactions
4	DEVELOPMENT OF MASS SPECTROMETRIC METHODS FOR FAST IDENTIFICATION OF MUTAGENIC DRUG IMPURITIES AND A GAS-PHASE REACTIVITY STUDY OF GROUND-STATE SINGLET OXENIUM CATIONS VIA ION-MOLECULE REACTIONS Ruth Anyaeche (17449233) 27 November 2023 (has links) <p dir="ltr">Tandem mass spectrometry (MS<sup>n</sup>) has become the most widely used analytical technique for the chemical characterization of unknown organic compounds in complex mixtures. It has led to the development of a large number of mass spectrometers with different mass analyzers as well as a wide array of ionization methods. This technique can be coupled with a diverse range of chromatography methods, such as gas chromatography (GC) and high-performance liquid chromatography (HPLC). Some of the primary strengths of MS include its great sensitivity, its versatility to seamlessly integrate with various chromatography techniques and its flexibility in the sense of access to different mass analyzers and different ionization methods. During MS experiments, analytes are evaporated and ionized and the resulting ions are separated based on their mass-to-charge (<i>m/z</i>) ratios and then detected. On the other hand, MS<sup>n</sup> experiments involve isolating a specific ion of interest from all other ions and subjecting them to reactions such as collision-activated dissociation (CAD) or ion-molecule reactions. These reactions generate product ions that can be used to obtain structural information for the analyte. In addition, MS<sup>n</sup> experiments can be used to generate and study the chemical properties of reaction intermediates, such as oxenium cations. </p><p dir="ltr">The mass spectrometer and the ionization source used to perform the research discussed in this thesis are described in Chapter 2. After this, the development of experiments involving ion-molecule reactions accompanied by collision-activated dissociation in a linear quadrupole ion trap is discussed, with the goals of differentiating the aziridine functionality from structurally related functional groups, such as the amino group and identifying aromatic aldehyde functionalities in protonated oxygen-containing monofunctional analytes. The integration of machine learning with mass spectral data has become an increasingly prevalent and valuable way to interpret data faster and more accurately without human bias than conventional manual approaches. Chapter 5 discusses combining machine learning-guided automated HPLC analysis coupled with MS<sup>n</sup> experiments based on diagnostic ion-molecule reactions for the structural elucidation of unknown compounds. Finally, experimental and computational studies on the gas-phase reactivity of quinoline-based ground-state singlet oxenium cations are discussed.</p> Analytical spectrometry Physical organic chemistry Computational chemistry Theoretical quantum chemistry density fuctional theory Ion Molecule Reaction-Mass Spectrometry aromatic aldehydes aziridine
5	FROM THEORY TO APPLICATION: THE ADDITIVE MANUFACTURING AND COMBUSTION PERFORMANCE OF HIGH ENERGY COMPOSITE GUN PROPELLANTS AND THEIR SOLVENTLESS ALTERNATIVES Aaron Afriat (10732359) 20 May 2024 (has links) <p dir="ltr">Additive manufacturing (AM) of gun propellants is an emerging and promising field which addresses the limitations of conventional manufacturing techniques. Overall, this thesis is a body of work which serves to bridge the gap between fundamental research and application of additively manufactured gun propellants.</p> Organic chemical synthesis Theoretical quantum chemistry Aerospace materials Powder and particle technology Composite and hybrid materials Polymers and plastics Solid mechanics additive manufacturing composite propellant gun propellant afriat method afriat isoconversional method solventless gun propellant vibration-assisted printing vibration assisted printing VAP 3DThermoDIC instrumented ram extruder low-vulnerability ammunition 3D internal geometries extrusion based additive manufacturing rheology of lova propellant lova propellant dynamic mechanical testing anisotropy gun propellant paste rheology clogging analysis high strain rate failure 3d digital image correlation thermal imaging powder gun gun firing ballistic performance

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