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dc.contributor.advisorBrennecka, Geoffrey
dc.contributor.authorTalley, Kevin R.
dc.date.accessioned2020-01-24T21:18:32Z
dc.date.accessioned2022-02-03T13:18:32Z
dc.date.available2020-01-24T21:18:32Z
dc.date.available2022-02-03T13:18:32Z
dc.date.issued2019
dc.identifierTalley_mines_0052E_11844.pdf
dc.identifierT 8851
dc.identifier.urihttps://hdl.handle.net/11124/173986
dc.descriptionIncludes bibliographical references.
dc.description2019 Fall.
dc.description.abstractPiezoelectric nitrides are technologically relevant materials, crucial for connecting today's cellular networks and positioned to enable the advanced communication networks of the future. However, new and improved piezoelectric materials are needed to deliver the performance requirements of these future networks. Here, combinatorial methods are applied in the search for new and improved piezoelectric nitride materials. In order to promote understanding of the current state of this field, a review of high-throughput methodology, nitride materials, and piezoelectric materials is presented as an introduction. A state of the art material, (Al,Sc)N, is investigated and important structure-property and composition-property relationships are illuminated by coupling computation and experiments. Further investigation, enabled by development of a new methodology, confirms a decrease in the elastic modulus with increasing scandium concentration. Chromium nitride alloying in aluminum nitride ((Al,Cr)N) is identified for similar enhancement of piezoelectric strain properties and an important structure-property relationship is investigated, and confirmed, by high-throughput experiments. A next-generation piezoelectric nitride material, LaWN3, was then targeted and explored for its predicted perovskite structure and piezoelectric properties, which are both confirmed. In the process of investigating this material, the possibility of other stable nitride perovskites (ABN3) and techniques for tuning properties through oxygen incorporation (AB(N,O)3) are highlighted. In parallel to the materials studies performed here, a robust software package for combinatorial data handling was produced and distributed in order to accelerate these and future high-throughput experiments. This work documents, explores, and increases known piezoelectric nitride materials by using and advancing combinatorial methods.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.rightsCopyright of the original work is retained by the author.
dc.subjectnitrides
dc.subjectsputtering
dc.subjectcombinatorial
dc.subjectthin films
dc.subjectpiezoelectrics
dc.titleUnderstanding piezoelectric nitrides by combinatorial methods
dc.typeText
dc.contributor.committeememberRockett, A. (Angus)
dc.contributor.committeememberZakuteyev, Andriy
dc.contributor.committeememberWong-Ng, W. (Winnie)
dc.contributor.committeememberCiobanu, Cristian V.
thesis.degree.nameDoctor of Philosophy (Ph.D.)
thesis.degree.levelDoctoral
thesis.degree.disciplineMetallurgical and Materials Engineering
thesis.degree.grantorColorado School of Mines


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