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Identifying Solutions to Packing Frustrations in Complex Intermetallics
Identifying Solutions to Packing Frustrations in Complex Intermetallics
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152655
- ISBN
- 9798383572016
- DDC
- 546
- 서명/저자
- Identifying Solutions to Packing Frustrations in Complex Intermetallics
- 발행사항
- [Sl] : The University of Wisconsin - Madison, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 370 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
- 주기사항
- Advisor: Fredrickson, Daniel C.
- 학위논문주기
- Thesis (Ph.D.)--The University of Wisconsin - Madison, 2024.
- 초록/해제
- 요약One of the earliest frameworks for understanding the co-solubility of metallic elements are the Hume-Rothery rules, which emphasize the importance of valence electron count, electronegativity, and atomic size. While our understanding of substitution and bonding in intermetallics has grown considerably since Hume-Rothery identified these factors, much of our current understanding is still rooted in these factors. Recently, the Fredrickson Group has developed tools for elucidating the role of atomic size in intermetallics, frequently involving the calculation of DFT-Chemical Pressure (CP). This method has proved versatile for understanding how multiple important chemical phenomena in solids relate to the underlying packing tensions experienced in compounds of interest.With the CP method established, my thesis work centers around expanding the versatility and ease of use of the method, and later, expanding the regime of systems that can be studied with CP. Of particular interest are chemical systems where stoichiometry, electronegativity, and electron counting principles suggest the formation of structures with relatively simple atomic packings, but instead more complex structures arise due to packing tensions. Three of the most common ways that structures adapt to accommodate packing tensions are 1) incommensurate modulations, 2) loss of periodic order (ie. formation of quasicrystals, glasses), or 3) formation of ordered superstructures/intergrowths. This thesis will primarily address the last adaptation, examining several structures of varying complexity, which can be considered intergrowths or superstructures built up of fragments of simple structures.The first three chapters of this thesis detail several advances that I contributed to the CP method. By addressing three aspects of the CP method that were previously more time intensive and replacing those steps with more automated procedures, the effort required to obtain CP data has been significantly reduced. First, Chapter 2 will focus on the need to partition the EEwald and Eα energies into core-like and delocalized homogenous portions and describe a new procedure for accomplishing this using an automated iterative calibration process. This chapter will also discuss the development and use of FigureToolWeb, an online graphical user interface designed for displaying Chemical Pressure data. With these two improvements to the CP method, Chapter 3 will cover the development of the Intermetallic Reactivity Database (IRD), which serves as a repository of CP data from which experimental solid state chemists can gain information about systems of interest, and from which large scale method development can take place. To demonstrate the la7er use, this chapter will also discuss a new, streamlined method for calibrating the amount of electrons from the EEwald + Eα term localized to each ion core in a structure, which significantly reduces the computational cost of producing CP data by reducing the number of auxiliary calculations needed. Finally, in Chapter 4, I will detail the use of a similar iterative calibration process to establish atomic volumes within a compound, which is necessary for accurately calculating the CP assigned to each interatomic contact.In the two penultimate chapters of my thesis, I will describe the application of the CP method to help understand the stabilization of two compounds, an intergrowth and a quasi-1D structure. Both compounds can be understood in terms of electronic stability, but additional insights are gained when considering the packing tensions revealed by CP for each structure. In the case of Pd5InAs, CP serves as a driving force for the intergrowth of two simpler structures, Pd3In and Pd2As, while the use of the reversed approximation Molecular Orbital (raMO) method guides us further to understand which of two possible arrangements these elements take. This application of raMO and CP demonstrates how a complete picture is often needed to fully understand the driving forces with an intermetallic system. The second system, Au2MP2 (M = Tl, Pb, Bi), will first be analyzed in terms of electronic stability, with band structures and densities employed to understand the electronic differences between two possible configurations of the structure. Later, CP will be used to gain further insights into the bonding of the Au-P framework and the packing tensions experienced by Bi in that framework.Finally, in Chapter 7, I will discuss the development and use of Machine Learned Chemical Pressure (ML-CP). By utilizing all of the binary entries in the IRD, a machine learning model has been developed, tested, and validated for predicting the interatomic pressure experienced between atoms within a given structural framework. This model has subsequently been integrated into a program which produces the same outputs as the original DFT-CP method, but which is not limited by the same factors as DFT-CP. Namely, the ML-CP method can be used with systems too large for current implementations of DFT, and systems which don't abide periodic boundary conditions. The use of the method will be demonstrated with the analysis of Mg2Al3, a complex intermetallic structure based on hypothetical MgAl2 Laves phases. We will uncover new structural understandings of why the Mg2Al3 structure is so complex by using ML-CP to guide the identification of the regions of the structure that offer the greatest CP stabilization, and examining how those regions find relief of CP compared to the hypothetical MgAl2 structure.By the conclusion of this thesis, we will have considered several developments of the Chemical Pressure method, including modifications that make the workflow more streamlined and automated, and less ambiguous. We will also have considered multiple chemical systems where electronic analysis is insufficient for understanding structural stability, and several where CP was used in unison with electronic structure methods to gain a complete picture of structural stability. Finally, we will have looked at the most recent developments to the CP method, and an example of the types of systems that are now accessible for analysis with the use of the ML-CP method.
- 일반주제명
- Inorganic chemistry
- 일반주제명
- Chemistry
- 일반주제명
- Analytical chemistry
- 키워드
- CP method
- 키워드
- Stoichiometry
- 기타저자
- The University of Wisconsin - Madison Chemistry
- 기본자료저록
- Dissertations Abstracts International. 86-01B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■007cr#unu||||||||
■020 ▼a9798383572016
■035 ▼a(MiAaPQ)AAI31487375
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a546
■1001 ▼aVan Buskirk, Jonathan S.
■24510▼aIdentifying Solutions to Packing Frustrations in Complex Intermetallics
■260 ▼a[Sl]▼bThe University of Wisconsin - Madison▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a370 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-01, Section: B.
■500 ▼aAdvisor: Fredrickson, Daniel C.
■5021 ▼aThesis (Ph.D.)--The University of Wisconsin - Madison, 2024.
■520 ▼aOne of the earliest frameworks for understanding the co-solubility of metallic elements are the Hume-Rothery rules, which emphasize the importance of valence electron count, electronegativity, and atomic size. While our understanding of substitution and bonding in intermetallics has grown considerably since Hume-Rothery identified these factors, much of our current understanding is still rooted in these factors. Recently, the Fredrickson Group has developed tools for elucidating the role of atomic size in intermetallics, frequently involving the calculation of DFT-Chemical Pressure (CP). This method has proved versatile for understanding how multiple important chemical phenomena in solids relate to the underlying packing tensions experienced in compounds of interest.With the CP method established, my thesis work centers around expanding the versatility and ease of use of the method, and later, expanding the regime of systems that can be studied with CP. Of particular interest are chemical systems where stoichiometry, electronegativity, and electron counting principles suggest the formation of structures with relatively simple atomic packings, but instead more complex structures arise due to packing tensions. Three of the most common ways that structures adapt to accommodate packing tensions are 1) incommensurate modulations, 2) loss of periodic order (ie. formation of quasicrystals, glasses), or 3) formation of ordered superstructures/intergrowths. This thesis will primarily address the last adaptation, examining several structures of varying complexity, which can be considered intergrowths or superstructures built up of fragments of simple structures.The first three chapters of this thesis detail several advances that I contributed to the CP method. By addressing three aspects of the CP method that were previously more time intensive and replacing those steps with more automated procedures, the effort required to obtain CP data has been significantly reduced. First, Chapter 2 will focus on the need to partition the EEwald and Eα energies into core-like and delocalized homogenous portions and describe a new procedure for accomplishing this using an automated iterative calibration process. This chapter will also discuss the development and use of FigureToolWeb, an online graphical user interface designed for displaying Chemical Pressure data. With these two improvements to the CP method, Chapter 3 will cover the development of the Intermetallic Reactivity Database (IRD), which serves as a repository of CP data from which experimental solid state chemists can gain information about systems of interest, and from which large scale method development can take place. To demonstrate the la7er use, this chapter will also discuss a new, streamlined method for calibrating the amount of electrons from the EEwald + Eα term localized to each ion core in a structure, which significantly reduces the computational cost of producing CP data by reducing the number of auxiliary calculations needed. Finally, in Chapter 4, I will detail the use of a similar iterative calibration process to establish atomic volumes within a compound, which is necessary for accurately calculating the CP assigned to each interatomic contact.In the two penultimate chapters of my thesis, I will describe the application of the CP method to help understand the stabilization of two compounds, an intergrowth and a quasi-1D structure. Both compounds can be understood in terms of electronic stability, but additional insights are gained when considering the packing tensions revealed by CP for each structure. In the case of Pd5InAs, CP serves as a driving force for the intergrowth of two simpler structures, Pd3In and Pd2As, while the use of the reversed approximation Molecular Orbital (raMO) method guides us further to understand which of two possible arrangements these elements take. This application of raMO and CP demonstrates how a complete picture is often needed to fully understand the driving forces with an intermetallic system. The second system, Au2MP2 (M = Tl, Pb, Bi), will first be analyzed in terms of electronic stability, with band structures and densities employed to understand the electronic differences between two possible configurations of the structure. Later, CP will be used to gain further insights into the bonding of the Au-P framework and the packing tensions experienced by Bi in that framework.Finally, in Chapter 7, I will discuss the development and use of Machine Learned Chemical Pressure (ML-CP). By utilizing all of the binary entries in the IRD, a machine learning model has been developed, tested, and validated for predicting the interatomic pressure experienced between atoms within a given structural framework. This model has subsequently been integrated into a program which produces the same outputs as the original DFT-CP method, but which is not limited by the same factors as DFT-CP. Namely, the ML-CP method can be used with systems too large for current implementations of DFT, and systems which don't abide periodic boundary conditions. The use of the method will be demonstrated with the analysis of Mg2Al3, a complex intermetallic structure based on hypothetical MgAl2 Laves phases. We will uncover new structural understandings of why the Mg2Al3 structure is so complex by using ML-CP to guide the identification of the regions of the structure that offer the greatest CP stabilization, and examining how those regions find relief of CP compared to the hypothetical MgAl2 structure.By the conclusion of this thesis, we will have considered several developments of the Chemical Pressure method, including modifications that make the workflow more streamlined and automated, and less ambiguous. We will also have considered multiple chemical systems where electronic analysis is insufficient for understanding structural stability, and several where CP was used in unison with electronic structure methods to gain a complete picture of structural stability. Finally, we will have looked at the most recent developments to the CP method, and an example of the types of systems that are now accessible for analysis with the use of the ML-CP method.
■590 ▼aSchool code: 0262.
■650 4▼aInorganic chemistry
■650 4▼aChemistry
■650 4▼aAnalytical chemistry
■653 ▼aChemical Pressure
■653 ▼aHume-Rothery rules
■653 ▼aCP method
■653 ▼aStoichiometry
■690 ▼a0488
■690 ▼a0486
■690 ▼a0485
■71020▼aThe University of Wisconsin - Madison▼bChemistry.
■7730 ▼tDissertations Abstracts International▼g86-01B.
■790 ▼a0262
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163335▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


