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Title: Electronic structure and electron-phonon coupling in TiH$$_2$$

Journal Article · · Scientific Reports
DOI:https://doi.org/10.1038/srep28102· OSTI ID:1266003
 [1];  [1];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Calculations using first principles methods and strong coupling theory are carried out to understand the electronic structure and superconductivity in cubic and tetragonal TiH$$_2$$. A large electronic density of states at the Fermi level in the cubic phase arises from Ti-$$t_{2g}$$ states and leads to a structural instability against tetragonal distortion at low temperatures. However, constraining the in-plane lattice constants diminishes the energy gain associated with the tetragonal distortion, allowing the cubic phase to be stable at low temperatures. Furthermore, calculated phonon dispersions show decoupled acoustic and optic modes arising from Ti and H vibrations, respectively and frequencies of optic modes to be rather high. The cubic phase has a large electron-phonon coupling parameter $$\lambda$$ and critical temperature of several K. Contribution of the hydrogen sublattice to $$\lambda$$ is found to be small in this material, which we understand from strong coupling theory to be due to the small H-$$s$$ DOS at the Fermi level and high energy of hydrogen modes at the tetrahedral sites.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1266003
Journal Information:
Scientific Reports, Vol. 6; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 17 works
Citation information provided by
Web of Science

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Cited By (4)

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Effect of electrons scattered by optical phonons on superconductivity in M H 3 ( M = S , Ti, V, Se) journal July 2018
Structural and Superconducting Properties of Tungsten Hydrides Under High Pressure journal September 2018
Predicting novel superconducting hydrides using machine learning approaches text January 2020