Literature DB >> 33831299

Assessing the Effects of Temperature and Oxygen Vacancy on Band Gap Renormalization in LaCrO3-δ: First-Principles and Experimental Corroboration.

Jongwoo Park1, Wissam A Saidi1,2, Jeffrey K Wuenschell1,3, Bret H Howard1, Benjamin Chorpening1, Yuhua Duan1.   

Abstract

Understanding the temperature dependence of functional properties in high-temperature gas sensors is vital for applications in combustion environments. Temperature effect on the electronic structure due to electron-phonon coupling is a key property of interest as this influences other responses of sensors. In this work, we assess the impact of temperature on band gap renormalization of pristine and oxygen-vacant LaCrO3-δ perovskite employing Allen-Heine-Cardona theory with first-principles simulations and corroborate with experimental observation. Antiferromagnetic cubic LaCrO3 shows a direct ground-state band gap of 2.62 eV that is reduced by over 1 eV due to the presence of oxygen vacancies, which can form endothermically. We find excellent agreement in temperature-dependent band gap shift in LaCrO3 between theory and an in-house experiment, proving that the theory can adequately predict renormalization on the band gap in a magnetic system. Band gaps in cubic LaCrO3-δ are found to monotonically narrow by 1.13 eV in pristine and by around 0.62 eV in oxygen-vacant structures as temperature increases from 0 to 1500 K. The predicted band gap variations are rationalized using an analytical model. The experimental zero-temperature band gaps are extracted from the model fits that can provide useful insights on the simulated band gaps.

Entities:  

Keywords:  Allen−Heine−Cardona theory; LaCrO3−δ perovskite; band gap renormalization; electron−phonon coupling; high-temperature gas sensors; oxygen vacancy

Year:  2021        PMID: 33831299     DOI: 10.1021/acsami.1c03503

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  1 in total

1.  Zr-Doped h-BN Monolayer: A High-Sensitivity Atmospheric Pollutant-Monitoring Sensor.

Authors:  Liang-Yan Guo; Sheng-Yuan Xia; Yaxiong Tan; Zhengyong Huang
Journal:  Sensors (Basel)       Date:  2022-05-28       Impact factor: 3.847

  1 in total

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