dc.contributor.advisor | Singh, Abhishek Kumar | |
dc.contributor.author | Juneja, Rinkle | |
dc.date.accessioned | 2020-12-01T06:30:48Z | |
dc.date.available | 2020-12-01T06:30:48Z | |
dc.date.submitted | 2019 | |
dc.identifier.uri | https://etd.iisc.ac.in/handle/2005/4699 | |
dc.description.abstract | In summary, we have performed first-principles calculations to study the topological phase transitions
in chalcopyrite compounds as a function of hydrostatic pressure. These compounds are
topological insulators in the native phase with an inverted band order around BZ center. Upon
hydrostatic compression, there is a transition from nontrivial TI phase to a Dirac semimetallic
state at a critical pressure. Further increase in pressure drives the materials into a trivial semiconductors
along with normal ordering of bands. Different quantum phases are characterized
by topological invariants as well as surface states. These quantum phase transitions are further
validated by model calculations based on L¨uttinger Hamiltonian, which unravels the critical
role played by pressure-induced anisotropy of frontier bands in driving the phase transitions.
Such a manoeuvre between various topological phases by hydrostatic pressure can stimulate
the search for TQPTs in future experiments | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | ;G29590 | |
dc.rights | I grant Indian Institute of Science the right to archive and to make available my thesis or dissertation in whole or in part in all forms of media, now hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part
of this thesis or dissertation | en_US |
dc.subject | topological phase transitions | en_US |
dc.subject | chalcopyrite compounds | en_US |
dc.subject | Dirac semimetallic | en_US |
dc.subject.classification | Research Subject Categories::NATURAL SCIENCES::Chemistry::Other chemistry | en_US |
dc.title | Accelerated search for thermoelectric and topological materials using first-principles and machine learning | en_US |
dc.type | Thesis | en_US |
dc.degree.name | PhD | en_US |
dc.degree.level | Doctoral | en_US |
dc.degree.grantor | Indian Institute of Science | en_US |
dc.degree.discipline | Faculty of Science | en_US |