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Spin texture evolution of rashba splitting under pressure: a case study of inorganic nitride perovskite crystal.
Spin-orbit coupling (SOC) effects in non-centrosymmetric systems lead to a uniform spin configuration in momentum space known as persistent spin texture (PST). The PST has been predicted to support an extraordinarily long spin lifetime of carriers promising for spintronics applications. Using density functional theory, we report the existence of PST in nitrogen-based perovskite (CeTaN 3 ), a non-centrosymmetric ferroelectric material with spontaneous polarization of 5.6 μC/cm 2 along [100] direction. Our calculations showed that CeTaN 3 is a direct band gap (0.436 eV) semiconductor and exhibits PST both in the conduction and valence bands. The calculated Rashba parameter was 0.399 eVÅ (0.282 eVÅ) for the conduction (valence) band. A comprehensive investigation of the stability of CeTaN 3 was performed by calculating its elastic constants, reaction decomposition enthalpy, and phonon dispersion. All three methods showed that CeTaN 3 is stable. We also investigated the effects of the hydrostatic pressure on the spin splitting of the bands. We found that CeTaN 3 preserved the PST up to 6 GPa and the splitting of the bands disappeared at 8 GPa. The present study paves the way for using external pressure as a prime factor in tuning not-yet-synthesized perovskite materials suitable for spintronics and optoelectronic applications.
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S. Mir and S. Chakraborty, J. Mater. Chem. A , 2024, Accepted Manuscript , DOI: 10.1039/D4TA02555E
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By e. moore and h. kroto.
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Predicting coastal water quality with machine learning, a case study of beibu gulf, china.
Bai, Y.; Xu, Z.; Lan, W.; Peng, X.; Deng, Y.; Chen, Z.; Xu, H.; Wang, Z.; Xu, H.; Chen, X.; et al. Predicting Coastal Water Quality with Machine Learning, A Case Study of Beibu Gulf, China. Water 2024 , 16 , 2253. https://doi.org/10.3390/w16162253
Bai Y, Xu Z, Lan W, Peng X, Deng Y, Chen Z, Xu H, Wang Z, Xu H, Chen X, et al. Predicting Coastal Water Quality with Machine Learning, A Case Study of Beibu Gulf, China. Water . 2024; 16(16):2253. https://doi.org/10.3390/w16162253
Bai, Yucai, Zhefeng Xu, Wenlu Lan, Xiaoyan Peng, Yan Deng, Zhibiao Chen, Hao Xu, Zhijian Wang, Hui Xu, Xinglong Chen, and et al. 2024. "Predicting Coastal Water Quality with Machine Learning, A Case Study of Beibu Gulf, China" Water 16, no. 16: 2253. https://doi.org/10.3390/w16162253
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Journal of Materials Chemistry A. Spin Texture Evolution of Rashba Splitting under Pressure: A Case Study of Inorganic Nitride Perovskite Crystal . Showkat Mir and Sudip Chakraborty Abstract. Spin-orbit coupling (SOC) effects in non-centrosymmetric systems lead to a uniform spin configuration in momentum space known as persistent spin texture ...
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