The ReaxFF reactive force-field : development, applications and future directions

The reactive force-field (ReaxFF) interatomic potential is a powerful computational tool for exploring, developing and optimizing material properties. Methods based on the principles of quantum mechanics (QM), while offering valuable theoretical guidance at the electronic level, are often too computationally intense for simulations that consider the full dynamic evolution of a system. Alternatively, empirical interatomic potentials that are based on classical principles require significantly fewer computational resources, which enables simulations to better describe dynamic processes over longer timeframes and on larger scales. Such methods, however, typically require a predefined connectivity between atoms, precluding simulations that involve reactive events. The ReaxFF method was developed to help bridge this gap. Approaching the gap from the classical side, ReaxFF casts the empirical interatomic potential within a bond-order formalism, thus implicitly describing chemical bonding without expensive QM calculations. This article provides an overview of the development, application, and future directions of the ReaxFF method

Nanostructure Modeling in Oxide Ceramics Using Large Scale Parallel Molecular Dynamics Simulations.

The purpose of this dissertation is to investigate the properties and processes in nanostructured oxide ceramics using molecular-dynamics (MD) simulations. These simulations are based on realistic interatomic potentials and require scalable and portable multiresolution algorithms implemented on parallel computers. The dynamics of oxidation of aluminum nanoclusters is studied with a MD scheme that can simultaneously treat metallic and oxide systems. Dynamic charge transfer between anions and cations which gives rise to a compute-intensive Coulomb interaction, is treated by the O(N) Fast Multipole Method. Structural and dynamical correlations and local stresses reveal significant charge transfer and stress variations which cause rapid diffusion of Al and O on the nanocluster surface. At a constant temperature, the formation of an amorphous surface-oxide layer is observed during the first 100 picoseconds. Subsequent sharp decrease in O diffusion normal to the cluster surface arrests the growth of the oxide layer with a saturation thickness of 4 nanometers; this is in excellent agreement with experiments. Analyses of the oxide scale reveal significant charge transfer and variations in local structure. When the heat is not extracted from the cluster, the oxidizing reaction becomes explosive. Sintering, structural correlations, vibrational properties, and mechanical behavior of nanophase silica glasses are also studied using the MD approach based on an empirical interatomic potential that consists of both two and three-body interactions. Nanophase silica glasses with densities ranging from 76 to 93% of the bulk glass density are obtained using an isothermal-isobaric MD approach. During the sintering process, the pore sizes and distribution change without any discernable change in the pore morphology. The height and position of the first sharp diffraction peak (the signature of intermediate-range order) in the neutron static structure factor shows significant differences in the nanophase glasses relative to the bulk silica glass. Enhancement of the low-energy vibrational modes is observed. The effect of densification on mechanical properties is also examined

Rational Catalyst Design for Direct Conversion of CH4 and CO2

Possibilities for mitigation of carbon dioxide and methane levels in the atmosphere are of major global interest. One of the alternatives that attracts much scientific attention is their chemical utilization, especially because both of these gases are components of the natural gas, and rapid and extensive shale gas development makes them abundant raw materials. Development of an effective catalytic process that could be scaled-up for industrial purposes remains a great challenge for catalysis. Understanding of the mechanisms of molecular activation as well as of the reaction pathways over active centers on heterogeneous catalysts needs to be advanced. To that end this work focused on initiating the development of a bifunctional catalyst for low-temperature: 200C - 450C) direct conversion of methane and carbon dioxide by tailoring the structure of each active component using the insights from molecular modeling. Pt nanoparticles supported on ceria support have been selected based on molecular modeling and density functional theory analysis that provided the guidance for the catalyst structure optimization. Tetrahedral Pt nanoclusters, with a high fraction of edge and corner sites that would supposedly promote methane activation, were prepared by carefully adjusting the concentration ratio between Pt precursor and the capping polymer. Ceria nanorods, exhibiting more reducible facets that would activate carbon dioxide, were prepared by hydrothermal method. Conventional incipient wetness and modified polyol method were also used for the preparation of supported round shape Pt samples, for the comparison. Catalyst activity was evaluated by studying the H2 evolution rates during the exposure of the catalyst to the methane flow, in a small packed bed reactor, at the atmospheric pressure and temperatures up to 450C. Insights into the structure of the adsorbed carbonaceous species, formed during methane chemisorption, were gained from temperature programmed reduction profiles. The effects of catalyst structure, reaction temperature, CH4 partial pressure and the Pt loading on the methane activation were outlined. Results revealed that a strong metal-support interaction, characteristic for the ceria supported samples, had a pronounced impact not only on the total amount of chemisorbed CH4, but also on the structure of the adsorbed carbonaceous film. This has been attributed to the high concentrations of oxygen vacancies at the interface between ceria and Pt. The promoting effect of ceria was further confirmed in the experiments involving supported tetrahedral Pt nanoclusters. However, the application of these nanoparticles was limited by the instability of their shapes under reaction conditions. New synthesis methods that would increase the catalyst stability and prevent reconstruction of cluster shapes need to be developed. Further studies of the reactivity of the adsorbed carbonaceous species with the carbon dioxide and the selectivity towards desired oxygenates are needed. An integrated method involving both experimental and modeling efforts could enable more rational design of new materials with improved activity and selectivity and could potentially cut the costs and duration of extensive trial-and-error approach commonly practiced in industry. The possibility of tailoring catalyst activity and selectivity through shape and size- control could lead to the more efficient catalyst utilization

Recent advances in the field of bionanotechnology: An insight into optoelectric bacteriorhodopsin, quantum dots, and noble metal nanoclusters

Molecular sensors and molecular electronics are a major component of a recent research area known as bionanotechnology, which merges biology with nanotechnology. This new class of biosensors and bioelectronics has been a subject of intense research over the past decade and has found application in a wide variety of fields. The unique characteristics of these biomolecular transduction systems has been utilized in applications ranging from solar cells and single-electron transistors (SETs) to fluorescent sensors capable of sensitive and selective detection of a wide variety of targets, both organic and inorganic. This review will discuss three major systems in the area of molecular sensors and electronics and their application in unique technological innovations. Firstly, the synthesis of optoelectric bacteriorhodopsin (bR) and its application in the field of molecular sensors and electronics will be discussed. Next, this article will discuss recent advances in the synthesis and application of semiconductor quantum dots (QDs). Finally, this article will conclude with a review of the new and exciting field of noble metal nanoclusters and their application in the creation of a new class of fluorescent sensors

Anomalous Dynamic Behavior of Stable Nanograined Materials

abstract: The stability of nanocrystalline microstructural features allows structural materials to be synthesized and tested in ways that have heretofore been pursued only on a limited basis, especially under dynamic loading combined with temperature effects. Thus, a recently developed, stable nanocrystalline alloy is analyzed here for quasi-static (<100 s-1) and dynamic loading (103 to 104 s-1) under uniaxial compression and tension at multiple temperatures ranging from 298-1073 K. After mechanical tests, microstructures are analyzed and possible deformation mechanisms are proposed. Following this, strain and strain rate history effects on mechanical behavior are analyzed using a combination of quasi-static and dynamic strain rate Bauschinger testing. The stable nanocrystalline material is found to exhibit limited flow stress increase with increasing strain rate as compared to that of both pure, coarse grained and nanocrystalline Cu. Further, the material microstructural features, which includes Ta nano-dispersions, is seen to pin dislocation at quasi-static strain rates, but the deformation becomes dominated by twin nucleation at high strain rates. These twins are pinned from further growth past nucleation by the Ta nano-dispersions. Testing of thermal and load history effects on the mechanical behavior reveals that when thermal energy is increased beyond 200 °C, an upturn in flow stress is present at strain rates below 104 s-1. However, in this study, this simple assumption, established 50-years ago, is shown to break-down when the average grain size and microstructural length-scale is decreased and stabilized below 100nm. This divergent strain-rate behavior is attributed to a unique microstructure that alters slip-processes and their interactions with phonons; thus enabling materials response with a constant flow-stress even at extreme conditions. Hence, the present study provides a pathway for designing and synthesizing a new-level of tough and high-energy absorbing materials.Dissertation/ThesisDoctoral Dissertation Mechanical Engineering 201

Modeling of plasmonic properties of nanostructures for next generation solar cells and beyond

Plasmonic particles and nanostructures are widely used in photovoltaic and photonics. Surface plasmons were found to enhance different types of solar cells including plasmonic DSSCs, plasmonic solid semiconductor solar cells, plasmonic organic solar cells, and plasmonic perovskite solar cell. Size, composition, and shape of plasmonic nanoparticles as well as nanometer-distance control between particles are key design factors of plasmonic nanostructures. Modeling is rapidly gaining in importance for mechanistic understanding and rational design of plasmonic nanostructures. We review the modeling approaches used to model plasmon resonance features of nanostructures, from classical approaches that can routinely handle most particle sizes used in solar cells to approaches beyond classical electrodynamics such as ab initio approaches based on time-dependent density functional theory (TD-DFT). We highlight recently emerging approaches which have the potential to significantly enhance modeling capabilities in the coming years, in particular, by allowing atomistic (ab initio) modeling at realistic length scales, i.e. of particle sizes beyond 10 nm which are of most interest to plasmonic solar cells but remain problematic with traditional DFT-based techniques, such as density functional tight binding (DFTB) based approaches, time-dependent orbital-free DFT, and machine learning-based approaches, as well as many-body perturbation theory which is expected to gain usage with advances in computing power

Development of Interatomic Potentials for Supported Nanoparticles: The Cu/ZnO Case

We present a potential model that has been parametrized to reproduce accurately metal−metal oxide interactions of Cu clusters supported on ZnO. Copper deposited on the nonpolar (101̅0) ZnO surface is investigated using the new pairwise Cu–ZnO interatomic potentials including repulsive Born–Mayer Cu–O and attractive Morse Cu–Zn potentials. Parameters of these interactions have been determined by fitting to periodic supercell DFT data using different surface terminations and Cu cluster sizes. Results of interatomic potential-based simulations show a good agreement both structurally and energetically with DFT data, and thus provide an efficient filter of configurations during a search for low DFT energy structures. Upon examining the low energy configurations of Cu clusters on ZnO nonpolar surfaces for a range of cluster sizes, we discovered why Cu islands are commonly observed on step edges on the (101̅0) surface but are rarely seen on terraces