Insight into the stability in cation substitution of Magneli phase Ti4O7

被引:9
作者
Yuan, Tingting [1 ]
Jin, Na [1 ]
Cheng, Wenyu [1 ]
Yun, Yuyang [1 ]
Tian, Xin [1 ]
Wang, Lu [1 ]
Ye, Jinwen [1 ]
机构
[1] Sichuan Univ, Ctr Rare Earth & Vanadium & Titanium Mat, Sch Mat Sci & Engn, Chengdu 610065, Peoples R China
基金
中国国家自然科学基金;
关键词
TITANIUM; OXIDATION; CATALYSTS; ENERGY;
D O I
10.1063/5.0111932
中图分类号
O59 [应用物理学];
学科分类号
摘要
Doping Magneli phase Ti4O7 by cation substitution has attracted some interest for modulating structure and properties enhancement, but it remains a big problem to understand how doping elements impact the thermodynamic and structural stability of Ti4O7. We utilized first-principles calculations based on density functional theory (DFT) combined with machine learning (ML) to forecast the stability of doped Ti4O7. DFT calculations are used to model the thermodynamic and structural stability, as well as the electronic structure, of doped (Ti,M)(4)O-7 complexes (M = Sc, Y, La, Ce, Zr, Hf, V, Nb, Ta, Cr, Mo, and W). The results reveal that even if all (Ti,M)(4)O-7 are thermodynamically stable, the introduction of rare earth elements Y, La, and Ce causes great structural distortion. Employing Zr, Nb, Mo, and W can improve Ti4O7 thermodynamic stability due to strong bond strength and minimal lattice distortion. The relevance of 78 doping element qualities and one processing feature (doping site) for (Ti,M)(4)O-7 stability is discovered using ML. The results show that modulus of rigidity and entropy of solid of doping atoms have the greatest influence on the thermodynamic and structural stability of doped Ti4O7, which is useful for predicting additional (Ti,M)(4)O-7 stability without DFT calculations. At a low doping concentration, Ce-doped Ti4O7 with massive lattice distortion was synthesized, supporting the DFT results. This study not only applies to all doped Ti4O7 complexes, setting the groundwork for stability of the planned high-performance cation substitution in defect Ti4O7, but also introduces a unique way of predicting stability in defect engineering.
引用
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页数:7
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