{"id":{"repo_id":"rice","oai_identifier":"oai:repository.rice.edu:1911/111195"},"canonical_url":"https://search.dev.ndltd.org/etd/rice/oai:repository.rice.edu:1911/111195","repository":{"repo_id":"rice","name":"Rice University","base_url":"https://repository.rice.edu/server/oai/request"},"display":{"title":"Formulating design rules to predict 2D materials and heterostructures for next-generation electronics","abstract":"The Holy Grail of materials science is to understand how atoms in the periodic table get arranged into materials with specific properties. Knowledge of the design rules and material descriptors for a given property will reduce reliance on serendipity in materials design and help us answer questions like, what is the ideal mix of elements for a “beyond-silicon” device, or a high-temperature superconductor. In this thesis, by employing first-principles quantum theory methods, physics-based model Hamiltonian analysis, and high-performance computing, the structure-property relationships of two-dimensional materials, their heterostructures, and their interaction with substrates, have been explored to identify simple design rules for predicting practical material candidates for next-generation electronics; optoelectronics, spintronics, and quantum computing. For each case, the fundamental advantage of 2D materials over bulk systems will be discussed, along with the current challenges that limit their use. Moreover, by exploring structure-property relationships, specific design rules will be formulated for identifying practical candidates. These general principles will aid in the design and predictions of new materials and will help experimentalists to realize them in practice.","abstract_html":"The Holy Grail of materials science is to understand how atoms in the periodic table get arranged into materials with specific properties. Knowledge of the design rules and material descriptors for a given property will reduce reliance on serendipity in materials design and help us answer questions like, what is the ideal mix of elements for a “beyond-silicon” device, or a high-temperature superconductor. In this thesis, by employing first-principles quantum theory methods, physics-based model Hamiltonian analysis, and high-performance computing, the structure-property relationships of two-dimensional materials, their heterostructures, and their interaction with substrates, have been explored to identify simple design rules for predicting practical material candidates for next-generation electronics; optoelectronics, spintronics, and quantum computing. For each case, the fundamental advantage of 2D materials over bulk systems will be discussed, along with the current challenges that limit their use. Moreover, by exploring structure-property relationships, specific design rules will be formulated for identifying practical candidates. These general principles will aid in the design and predictions of new materials and will help experimentalists to realize them in practice.","abstract_has_math":false,"creators":["Gupta, Sunny"],"institution":"Rice University","degree_name":"Doctor of Philosophy","degree_level":"Doctoral","degree_discipline":"Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Yakobson, Boris I."],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-08-16","date_published":"2021-08-16","updated_at":"2026-07-24T04:10:34Z","subjects":["Density functional theory","spintronics","optoelectronics","single-photons","exciton condensation","flat bands","first-principles","model Hamiltonians"],"languages":["eng"],"rights":["Copyright is held by the author, unless otherwise indicated. 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