Strong precursor softening in cubic CaSiO3 perovskite
成果类型:
Article
署名作者:
Zhang, Chi; Yang, Jin-Yuan; Sun, Tao; Zhang, Huai; Brodholt, John P.
署名单位:
Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; University of London; University College London; University of Oslo
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-12485
DOI:
10.1073/pnas.2410910122
发表日期:
2025-01-29
关键词:
subducted basaltic crust
high-pressure
PHASE-TRANSITION
velocity
casio3-perovskite
elasticity
anisotropy
gpa
摘要:
CaSiO3 perovskite (CaPv) is the last major mineral in the Earth's lower mantle whose elasticity remains largely unresolved. Here, we investigate the elasticity of CaPv using ab initio machine-learning force fields (MLFF). At room temperature, the elasticity of tetragonal CaPv determined by MLFF molecular dynamics (MD) agrees well with experimental measurements after considering temperature induced variations in the hydrostatic structure, proving the effectiveness of the method. We use the MLFF MD in the NPT ensemble to establish the tetragonal-cubic phase boundary and confirm that in the lower mantle CaPv is in the cubic phase. The elasticity of cubic CaPv shows distinct temperature dependence at different ranges: it is linear at high temperatures, whereas it exhibits anomalous precursor softening near the tetragonal- cubic phase boundary. The temperature interval of precursor softening widens as the pressure increases and overlaps with the temperature profile of subducted cold slabs near the core-mantle boundary. While cubic CaPv is seismically invisible along the average mantle geotherm, it may induce low-velocity zones with negative temperature anomaly, leading to the view that the large low shear velocity provinces (LLSVPs) may be caused by subducted oceanic crust rich in CaPv with temperature lower than ambient mantle. A cool, rigid LLSVP may help explain the preferential formation of mantle plumes at its margins, as well as its weaker seismic anisotropy.