Matthew Zacate |
My main research interests are synthesis of computational methods for study of diffusion, point defects, and highly disordered materials; adapting computational methods used in materials research to other areas of science; and perturbed angular correlation spectroscopy (research in Solid State Physics through detection of nuclear radiation) and related hyperfine methods.
RUI: Simulation and Improved Analysis of Data from PAC and other Hyperfine Methods for Studying Local Atomic Jumps and Long Range Diffusion in Intermetallic Compounds
In collaboration with William E. Evenson (co-PI) and Phil Matheson (faculty researcher) at Utah Valley University.
The overall aim of this project is to involve undergraduate students in research that will enable effective application of hyperfine methods for measuring atomic jump rates and discerning diffusion mechanisms. The goals are to provide software tools and, where needed, additional theoretical development, to use the software to identify conditions under which diffusion mechanisms can be determined, and to analyze experimental data. The emphasis of this work is on diffusion processes in intermetallic compounds, but the results will be applicable to ceramics, semiconductors, and nanoparticles. Perturbed angular correlation spectroscopy (PAC), nuclear magnetic resonance (NMR), and Mössbauer effect (ME) are examples of hyperfine techniques that have been used to detect atomic motion. In most cases studied in the past, analysis of experimental data has been empirical, so the purpose of this study is to provide a framework for analyzing data obtained from hyperfine methods, based for example on the work of Dattagupta [i], that will allow rapid development of diffusion models uniformly across hyperfine methods.
Student participants at NKU: Mike Lape, Harun Muhammed, and Justin Williams.
Student participants at UVU: Austin Bunker, Jeffery A. Hodges, Carlos Moreno, Tyler Park, Heidi Pope, and Michael Stufflebeam.Software projects
- Stochastic Hyperfine Interactions Modeling Library (SHIML)
- The Adjustable Parameter Package (TAPP)
- PolyPacFit - A least-squares program to fit PAC spectra obtained from polycrystalline samples. It uses SHIML to allow fits to stochastic models.
- Programs to aid in development of stocahstic models: (1) Defect Configuration Generator and (2) Defect Configuration to Stochastic Model Converter
- zGraphViewer
Works nearing publication
Published results
- Simulations of PAC spectra for simple vacancy diffusion in L12-structured compounds using a developmental version of SHIML [34]
- Clarification of the theoretical expression for PAC spectra when the initial distribution of probes is not in equilibrium [35]
- Application of a developmental version of PolyPacFit to study Cd jump rates in rare earth tri-gallides [36]
- A re-examination of N-state symmetric EFG models
- Application of a developmental version of PolyPacFit to study Cd jump rates in Pd3Ga7
Other areas
- Investigation of inhomogeneous broadening effects that arise from randomly distributed charged defects
- Simulations of PAC spectra for more complex diffusion mechanisms in L12-structured compounds using SHIML
- Extension of SHIML to include methods such as Mössbauer effect that measure hyperfine interactions on two nuclear spin states
- Using PolyPacFit to PAC spectra from other systems as they become available in collaboration principally with Gary S. Collins at Washington State University
Development of Software Utilities to Aid Simulation of Highly Disordered Ceramics
The first utility, which now is called GenCEMMC, is a generalized version of the combined energy minimization – Monte Carlo (CEMMC) method for simulating large degrees of disorder. Earlier applications of the CEMMC method [10, 16, 31] have been limited to the case of antisite disorder and was executed in conjunction with the program CASCADE [ii]. The present generalized version supports any mode of disorder and is designed to be used with the more widely available and more flexible General Utility Lattice Program (GULP) [iii]. The second application, called GAP4GULP (a Genetic Algorithm for the General Utility Lattice Program), provides a genetic algorithm extension for GULP in order to search for optimal parameters in empirical models of cohesion in solids.
Student participants: Billy Hartmann and David Heitz
Software projects
- A Generalized Implementation of the Combined Energy Minimization – Monte Carlo Method (GenCEMMC)
- A Genetic Algorithm Program for the General Untility Lattice Program (GAP4GULP)
- The Adjustable Parameter Package (TAPP)
(To be updated when they are closer to being ready for publication.)
I have used both experimental and computational techniques to study point defects and other atomic scale phenomena in intermetallic compounds, ceramics, and semiconductors. I did this work in the Nuclear Solid State Physics group at Washington State University, in the Atomistic Simulation group at Imperial College, and with John A. Gardner (emeritus professor) at Oregon State University. My principal activities are listed below.
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