Temperature-Dependent Anharmonic Phonons in Quantum Paraelectric KTaO3 by First Principles and Machine-Learned Force Fields

被引:19
作者
Ranalli, Luigi [1 ,2 ,3 ]
Verdi, Carla [1 ,2 ]
Monacelli, Lorenzo [4 ]
Kresse, Georg [1 ,2 ]
Calandra, Matteo [5 ]
Franchini, Cesare [1 ,2 ,6 ]
机构
[1] Univ Vienna, Fac Phys, Kolingasse 14-16, A-1090 Vienna, Austria
[2] Univ Vienna, Ctr Computat Mat Sci, Kolingasse 14-16, A-1090 Vienna, Austria
[3] Univ Vienna, Vienna Doctoral Sch Phys, Boltzmanngasse 5, A-1090 Vienna, Austria
[4] Univ Rome, Sapienza Dipartimento Fis, Piazzale Aldo Moro 5, I-00185 Rome, Italy
[5] Univ Trento, Dept Phys, Via Sommar 14, I-38123 Povo, Italy
[6] Alma Mater Studiorum Univ Bologna, Dept Phys & Astron Augusto Righi, I-40127 Bologna, Italy
基金
奥地利科学基金会;
关键词
density function theory; incipient ferroelectric; machine learning; phonons; quantum materials; quantum paraelectric; PHASE-TRANSITIONS; FERROELECTRICITY; SRTIO3; MODE; DYNAMICS;
D O I
10.1002/qute.202200131
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Understanding collective phenomena in quantum materials from first principles is a promising route toward engineering materials properties and designing new functionalities. This work examines the quantum paraelectric state, an elusive state of matter characterized by the smooth saturation of the ferroelectric instability at low temperature due to quantum fluctuations associated with anharmonic phonon effects. The temperature-dependent evolution of the soft ferroelectric phonon mode in the quantum paraelectric KTaO3 in the range 0-300 K is modeled by combining density functional theory (DFT) calculations with the stochastic self-consistent harmonic approximation assisted by an on-the-fly machine-learned force field. The calculated data show that including anharmonic terms is essential to stabilize the spurious imaginary ferroelectric phonon predicted by DFT in the harmonic approximation, in agreement with experiments. Augmenting the DFT workflow with machine-learned force fields allows for efficient stochastic sampling of the configuration space using large supercells in a wide temperature range, inaccessible to conventional ab initio protocols. This work proposes a robust computational workflow capable of accounting for collective behaviors involving different degrees of freedom and occurring at large time/length scales, paving the way for precise modeling and control of quantum effects in materials.
引用
收藏
页数:7
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