The lack of catalytic efficiency towards the complete ethanol oxidation reaction (EOR) has hindered the development of direct ethanol fuel cells (DEFCs). Ir-based catalysts have recently been shown promise in the complete EOR. However, the reaction mechanism of the complete EOR remains unclear, which impedes the development of better Ir-based catalysts. Herein, we performed extensive density functional theory (DFT) calculations to develop a comprehensive reaction network of EOR on Ir(100). The EOR process consists of four dehydrogenation steps of ethanol leading to the generation of CH2CO species followed by two competitive reaction pathways, i.e., a C-O bond cleavage to poisoning species (e.g., CHC) and the surface diffusion of CH2CO leading to CO2. Furthermore, our studies show that for all CHxCOy (x = 1, 2, or 3 and y = 0 or 1) species, only when the C and O atoms (or two C atoms) bind to two different surface Ir atoms can the C-C/C-O bond cleavage occur. This work highlights the essential roles of adsorption structure and diffusion of CH2CO for the complete EOR and serves as a benchmark for the future investigation of the electronic and solvent effects.Pt-Ir-based alloy electrocatalysts have shown encouraging catalytic performance on the EOR in direct ethanol fuel cells. Nevertheless, designing a suitably qualified EOR electrocatalyst remains challenging because of several convoluted factors (e.g., C1 species poisoning, acetate acid formation, and C-C bond splitting). To understand the relationship between the EOR performance and the type of catalysts, we model three kinds of (100)-exposed Pt-Ir layered catalysts and perform density functional theory (DFT) calculations to explore 58 elementary reactions of the EOR over three catalyst surfaces. According to the calculated activation energies and reaction energies, we mapped out the reaction mechanisms for EOR on different catalysts, indicating corresponding rate-limiting steps (RLSs) of the complete EOR. We demonstrated that the C-O coupling/decoupling ability of the catalyst surface plays a leading role in the overall EOR performance because a perfect complete EOR not only has to avoid some C-O coupling reactions (e.g., CH¬3CO+OH→CH3COOH) but also needs to promote some C-O coupling reactions (e.g., CO+O→CO2). We further illustrated that Pt and Ir exhibit excellent C-O coupling and decoupling abilities, respectively, implying that modifying the compositions and structures of Pt-Ir catalysts is a promising way to achieve the complete EOR. Furthermore, the Ir@Pt(100) surface (Ir monolayer over Pt(100) surface) with a Pt-doped active site possesses the most significant potential on EOR, which could impede the acetate acid formation and facilitate the CO2 formation simultaneously. This work highlights the role of tuning the C-O coupling/decoupling ability of electrocatalyst in EOR activity, providing a new strategy for designing and selecting the EOR electrocatalyst. The solvent effect has always been a non-negligible factor for aqueous reactions. In computational chemistry, researchers have been looking for a compromise between computational efficiency and the rationality of solvent models to mimic the solvent environment. In this work, I investigated the ethanol dehydrogenation and C-C bond cleavages of EOR over Ir(100)using both implicit and explicit solvation models. The implicit model exhibited little impact on the adsorbates without the hydroxyl group, whereas the explicit model can reasonably describe the system’s hydrogen bonding and van der Waals interaction. This solvent effect study showed how different solvent models affected the elementary reactions geometrically and energetically.

Semiconductor nanostructures are currently an active area of research, especially in the field of photovoltaics as they will play a major role in next generation solar devices that break the current theoretical limit for light-to-current conversion. For instance, the efficiency of the nanostructure-based solar cells can be increased due to carrier multiplication, or multiple exciton generation (MEG) process, where absorption of a single energetic photon results in the generation of several charge carriers. In order to design nanostructures with the desired properties, a detailed theoretical approach for studying photoexcited state processes is necessary. The approach developed in this work is based on many-body perturbation theory (MBPT) and the Boltzmann transport equation (BE) in combination with density functional theory (DFT) in order to compute quantum efficiency (QE). Conclusions about QE are made after studying all the major relaxation channels in a photoexcited system, such as exciton-to-biexciton decays, biexciton recombination and phonon-mediated exciton relaxation. In all calculations, excitonic effects have been included by solving the Bethe-Salpeter equation (BSE). Then, by including excitons in the MBPT calculations, the exciton-to- biexciton rates R1→2 as well as the biexciton-to-exciton rates R2→1 are computed by taking into account the singlet fission (SF) process. The methods developed here have been applied to various semiconductor nanostructures such as pristine chiral (6,2), (6,5) and (10,5) and functionalized (6,2) SWCNTs. We predict efficient MEG in the (6,2) and (6,5) SWCNTs within the solar spectrum range starting at the 2Eg energy threshold and with QE reaching ~ 1:6 at about 3Eg, where Eg is the electronic gap. Also, methods for MEG rates calculations have been improved by taking into account exciton-exciton interactions in the intermediate biexciton state, where results show a small (~ 40 meV) red-shift in the biexciton density of states. Finally, the MEG-BE technique is applied in studying charge transfer. Charge transfer has been studied in a doped silicon quantum dot (QD) - functionalized SWCNT system where it was found that an initial excitation localized on either the QD or CNT evolves into a transient CT state. / National Science Foundation (NSF CHE-1413614)

The Morita-Baylis-Hillman (MBH) reaction is a very versatile synthetic protocol to synthesize various useful compounds containing several functional groups. MBH acetates and carbonates are highly valued compounds as they have good potential to be precursors for organic synthesis reactions due to their ease of modification and synthesis. This thesis utilizes Density Functional Theory (DFT) calculations to understand the mechanism and selectivity of an unexpected tandem conjugate addition-elimination (CA-E) reaction of allylic alkylated Morita-Baylis-Hillman C- adducts. This synthetic protocol was developed by Prof. Zhi-Yong Jiang and co-workers from Henan University, China. The reaction required the use of sub-stoichiometric amounts of an organic or inorganic Brøndst base as a catalyst and was achieved with excellent yields (96%) in neat conditions. TBD gave the highest yield amongst the organocatalysts and Cs2CO3 gave the highest yield amongst all screened bases. A possible mechanistic pathway was proposed and three different energy profiles were modeled using 1,5,7-triaza-bicyclo-[4.4.0]-dec-5-ene (TBD), Cs2CO3 and CO32- as catalysts. All three models were able to explain the experimental observations, revealing both kinetic and thermodynamic factors influencing the selectivity of the CA-E reaction. CO32- model gave the most promising result, revealing a significant energy difference of 17.9 kcal/mol between the transition states of the two differing pathways and an energy difference of 20.9 kcal/mol between the two possible products. Although TBD modeling did not show significant difference in the transition states of the differing pathways, it revealed an unexpected secondary non-covalent electrostatic interaction, involving the electron deficient C atom of the triaza CN3 moiety of the TBD catalyst and the O atom of a neighboring NO2- group in the intermediate. Subsequent modeling using a similar substrate proved the possibility of this non-covalent electrostatic interaction, as there was significant overlap of the orbital cloud present in both the Highest Occupied Molecular Orbital (HOMO) and Lowest Unoccupied Molecular Orbital (LUMO) of the molecule between the C atom of the triaza moiety belonging to the TBD catalyst and the O atom of the nitro group of the substrate. The Mayer bond order was of the C-O interaction was determined to be 0.138.

Since our society became industrialised, the levels of carbon dioxide in our atmosphere have been steadily rising, to the point where it in early 2020 at is 413 ppm. The high concentration is causing several troubling effects worldwide because of the increase in mean temperature that it creates, which causes longer draughts, more severe floods, and rising seawater levels to name a few. There are a few measures that can be taken to reduce carbon dioxide in the atmosphere, among which there are a number of methods that currently are being researched and/or used. The prospect of capturing carbon dioxide and using it as a carbon building block to make methanol is one solution that is particularly interesting, since it in theory could provide a fuel for combustion engines that is net neutral regarding carbon emission. Methanol can be synthesised from carbon dioxide using a heterogeneous catalyst consisting of copper, Cu, and zinc oxide, ZnO. This research is focused on one of the components of the catalyst, the metal oxide ZnO in the form of crystallites or nanoparticles (ZnO)n. Quantum chemistry is a branch of computational chemistry which is centered on solving the Schrödinger equation for molecular systems. Density functional theory, DFT, is an approach to quantum theory which in this study was used to calculate the geometry and energy of the particles. The supercomputer Tetralith in the National Supercomputer Centre, NSC, was used to carry out the calculations. The DFT calculations utilized the functional B3LYP and the basis set 6-31G (d,p). One of the largest particle sizes studied, (ZnO)20, with a structure that has a large, flat surface, was found to be the most energetically favourable. According to studies, the presence of an oxygen vacancy on the surface of ZnO reduces the amount of activation energy required for CO2 to bond to the particle, which increases the chance of forming CO and thus continuing the process of forming methanol. Two structures of (ZnO)20 were investigated in this regard, where oxygen atoms were removed at different locations, creating four versions of Zn20O19 in total. This proved yet again that the version with a large, flat surface yields the lesser amount of energy when an O atom is removed from the centre of its surface. The adsorption of CO2 to the ZnO clusters was studied by calculating the energy of adsorption, and this showed that it was the second version of (ZnO)20, without an O vacancy, that yielded the least amount of energy, thus being the most favourable species to engage in physisorption with CO2. Lastly, the activation energy was investigated, and a diagram of the reaction process of CO2 adsorbing to Zn20O19 forming (ZnO)20 and CO is presented in this paper, which shows that the required activation energy is 127 kJ/mol.

No description available.

No description available.

Despite the growing applications of silver nanoparticles, toxicity information on this nanomaterial is still deficient. Conclusions on the toxicity of silver nanoparticles vary and atomic level toxicity mechanisms are not yet achieved. Consequently, our group conducted combined computational and experimental toxicity studies of silver nanoparticles (AgNPs). Toxicity of 10 nm citrate stabilized AgNPs on HepG2 cells were investigated. Experimental results show that the 10 nm citrate stabilized AgNPs begin to be toxic to HepG2 cells at a dosage that exceeds 1 ppm and LD50 was observed at 3 ppm. Elevated reactive oxygen species levels were seen upon exposure to AgNPs with the maximum at the LD50 concentration of 3 ppm. Normal protein regulation of HepG2 cells were affected by exposure to AgNPs. TEM images of HepG2 cells exposed to AgNPs reveal that AgNPs can penetrate and agglomerate inside the cells. Our preliminary computational study was guided by one of the widely accepted toxicity mechanism of AgNPs in which the nanoparticles dissolute to Ag+. The computational model was composed of a 1:1 ratio of silver and phospholipid head. The silver employed are in atomic and anionic form while the phospholipid head are the phosphocholine (PC) and phosphoethanolamine (PE), which are abundant in HepG2 cells. Computational study shows that the presence of Ag+ results in partial oxidation of both the phospholipid heads. Our preliminary experimental and computational studies lead us to develop new computational methods that can accurately predict oxidation potentials (HOMO), reduction potentials (LUMO), and absorption spectra that can be used in studying toxicity mechanism of AgNPs through the oxidation pathway. Thus, computational methods for cyclic voltammetry and absorption spectroscopy that use DFT and TD-DFT, respectively, were improved to provide more accurate electronic and optical properties. Cyclopenta-fused polycyclic hydrocarbons (CP-PAHs) with available experimental data for HOMO, LUMO, ΔEgap and absorption spectra and have potential application as AgNP stabilizers were used in developing the improved computational methods for cyclic voltammetry and absorption spectroscopy. The improved computational method for cyclic voltammetry was developed by accounting for the anion species that occur experimentally and by using B3LYP the best density functional in predicting the HOMO, LUMO and ΔEgap of CP-PAHs with overall MAE of 014 eV. The best absorption spectra otef CP-PAHs were predicted using B3LYP for geometry optimizations followed by TD-CAMB3LYP with MAE of 29 nm. All calculations of CP-PAHs were implemented using the 6-311g (d,p) basis set and tetrahydrofuran (THF) as solvent. These two developed computational methods were tested on a group of methyl triphenyl amine (MTPA) derivatives with available experimental data for HOMO, LUMO, ΔEgap and absorption spectra and have potential application as AgNP stabilizers. The new computational methods for cyclic voltammetry and absorption spectroscopy also provided the most accurate predicted electronic and optical properties of MTPA derivatives. Among the ten density functionals employed, prediction of HOMO, LUMO and ΔEgap were most accurate using B3LYP and B3PW91 with overall MAE of 0.31 eV and 0.27 eV, respectively. Absorption spectra of MTPA derivatives were still best predicted using the B3LYP/TD-CAMB3LYP method with MAE of 13 nm. All calculations of MTPA were implemented using the 6-31+g (d,p) basis set and dichloromethane as solvent.

This licentiate thesis is devoted to the investigation of how bonding in simple organic molecules are affected by X-ray beam irradiation. The investigation targets molecules with three carbons as their main-chain structure. The stability of the bonds under ionization are simulated using the SIESTA package. SIESTA is a simulation package that provides molecular dynamics simulations based on density functional theory within the Born-Oppenheimer approximation. The aim of this study is to understand statistically the damaging process and selectivity among different types of bond. As the first targets, 4 hydrocarbons are investigated. They are propane, propene, propyne and propadiene, which have different combinations of single, double and triple bonds as their main-chain structures. Depending on the combinations, the structures can be either symmetric around the central atom or not. The structure of the symmetric molecules propane and propadiene are  stable until charge +3. In contrast, the asymmetric molecules propene and propyne, the  main-chain bonds show a tendency towards a more similar bond-distance as the level of ionization increases. In addition, hydrogens relocation occurs in propene, leading to a symmetric structure. Secondly, the bond fluctuations are investigated among 4 types of three-carbon molecules which have functional parts. Alcohol and carboxyl groups molecules show the stable bond integrities at charging 0 to +2. On the other hand, the carbon-carbon bonds in molecules with  acetyl and ketone groups are broken by ionization. Comparing the 8 kinds of bond breaking processes in these molecules, this statistical study gives an insight to organic molecules bonding systems.

Kohn-Sham density functional theory (KS-DFT) is one of the most widely used electronic structure methods. It is used to find the various properties of atoms, molecules, clusters, and solids. In principle, results for these properties can be found by solving self-consistent one-electron Schrödinger-like equations based on density functionals for the energy. In practice, the density functional for the exchange-correlation contribution to the energy must be approximated. The accuracy of practical DFT depends on the choice of density functional approximation (DFA) and also on the electron density produced by the DFA. The SCAN(strongly constrained and appropriately normed) functional developed by Sun, Ruzsinszky, and Perdew is the first meta-GGA (meta-generalized gradient approximation) functional that is constrained to obey all 17 known exact constraints that a meta-GGA can. SCAN has been found to outperform most other functionals when it is applied to aqueous systems. However, density-driven errors (energy errors occurring from an inexact density produced by a DFA) hinder SCAN from achieving chemical accuracy in some systems, including water. Density-corrected DFT (DC-DFT) can alleviate this shortcoming by adopting a more accurate electron density which, in most applications, is the electron density obtained at the Hartree-Fock level of theory, due to its relatively low computational cost. In the second chapter, calculations to determine the accuracy of the HF-SCAN functional for water clusters are performed. The interaction and binding energies of water clusters in the BEGDB and WATER27 data sets are computed, and then the spurious charge transfer in deprotonated, protonated, and neutral water dimer is interpreted. The density-corrected SCAN (DC-SCAN) functional elevates the accuracy of SCAN toward the CCSD(T) limit, not only for the neutral water clusters but also for all considered hydrated ion systems (to a lesser extent). In the third chapter, the barrier heights of the BH76 test set are analyzed. Three fully non-local proxy functionals (LC-ωPBE, SCAN50%, and SCAN-FLOSIC) and their selfconsistent proxy densities are used. These functionals share two important points of similarity to the exact functional. They produce reasonably accurate self-consistent barrier heights and their self-consistent total energies are nearly piecewise linear in fractional electron number. Somewhat-reliable cancellation of density - and functional-driven errors for the energy has been established. / Physics

<p>    Ceramics with novel optical properties have enabled substantial advances in technologies ranging from medical imaging to fish finding. Further development of optically transparent ceramics will allow the creation of novel devices with new capabilities, capable of functioning in previously inconceivable operating conditions. Hypersonic aerospace applications often utilize IR imaging for guiding and target identification. Sensors utilized in the detection and measurement of IR radiation cannot withstand the extreme environments intrinsic to hypersonic travel and thus must be protected from the surrounding environment while minimizing distortion of incident IR radiation. Towards this end, IR transparent ceramics have been developed that can withstand the extreme environments of hypersonic travel, while maintaining their optical and mechanical properties. </p> <p>The binary II-VI semiconductor Zinc Sulfide (ZnS) has been primarily utilized for this application due to its strong transmission of 8-10 μ𝑚 IR radiation in combination with the stability of its mechanical properties at elevated temperatures encountered at high airspeeds. While it has proven to be a capable material for the application, previous testing has found it to degrade and fail catastrophically when exposed to sand or water at subsonic speeds. This initiated a search for materials with similar IR transmittance properties to ZnS but with higher strength and resistance to degradation. </p> <p>The diamond allotrope of carbon has been found to have the most optimal mechanical properties for this application, but due to obvious limitations from cost and processing in bulk, it is not considered a realistic option for the application. The ternary sulfide Calcium Lanthanum Sulfide (CLS, CaLa2S4) was discovered in the early 1980s, with an extended IR transmission window of 8-12 μ𝑚 in contrast to the 8-10 μ𝑚 transmission window of ZnS. In combination with more favorable mechanical properties than ZnS, CaLa2S4 has become a promising candidate towards the manufacture of stronger IR windows for aerospace applications. To expand the existing body of knowledge on this ternary sulfide and towards the advancement of IR window materials, this work seeks to utilize density functional theory to characterize defects in CLS to guide future investigations of this material system.</p>