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Mn3Sn3(TeO8)2

高熵材料 HEA

MP-ID: mp-772482 · 空间群: Cm (#8)

基础信息

化学式
Mn3Sn3(TeO8)2
MP-ID
mp-772482
元素数
4
位点数
24
密度
5.3415
g/cm³
体积
320.86
ų
晶胞参数 a
6.3344
Å
晶胞参数 b
6.3344
Å
晶胞参数 c
9.3223
Å
α 角
88.67
°
β 角
88.67
°
γ 角
59.11
°
空间群
Cm
点群
m
晶体系统
Monoclinic
布拉维格子
Monoclinic C
稳定性
否
堆积分数
0.5240

X 射线衍射

衍射图谱
横轴为 2θ (°),纵轴为相对强度,CuKa , λ=1.5406 Å
衍射峰(Top 24)
2θd (Å)Ihkl
9.49 9.3189 7.0 (0,0,0,1)
16.09 5.5083 22.8 (1,1,-2,0)
16.31 5.4352 8.8 (1,0,-1,0)
18.49 4.7985 75.5 (1,1,-2,1)
18.79 4.7222 100.0 (1,0,-1,1)
18.93 4.6873 19.3 (1,1,-2,-1)
19.01 4.6682 61.1 (1,0,-1,-1)
19.05 4.6595 62.7 (0,0,0,2)
24.69 3.6053 19.2 (1,1,-2,2)
25.01 3.5608 31.6 (1,0,-1,2)
25.34 3.5146 29.7 (1,0,-1,-2)
25.37 3.5114 26.6 (1,1,-2,-2)
28.19 3.1660 2.8 (2,1,-3,0)
28.57 3.1243 1.3 (1,-1,0,0)
29.59 3.0190 1.3 (2,1,-3,1)
30.02 2.9768 1.2 (2,1,-3,-1)
30.17 2.9622 14.3 (1,-1,0,1)
32.51 2.7542 17.4 (2,2,-4,0)
32.72 2.7373 10.2 (1,1,-2,3)
32.96 2.7176 30.7 (2,0,-2,0)
33.02 2.7124 21.5 (1,0,-1,3)
33.41 2.6817 30.7 (1,0,-1,-3)
33.50 2.6753 18.0 (1,1,-2,-3)
33.69 2.6607 24.4 (2,2,-4,1)
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能量属性

形成能/原子
-1.78699
eV/atom
能量/原子
-6.99402
eV/atom
凸包距离
0.1014
eV/atom
未修正能量
-6.3275
eV/atom
体积/原子
13.37
ų
c/a 比
-

电子属性

金属性
金属
带隙
0
eV
直接带隙
否
导带底 CBM
N/A
eV

磁性属性

磁性
是
总磁矩
13.0005
μB
磁有序
FM
磁性位点数
3
磁化强度/体积
0.040520
μB/ų

弹性属性

弹性数据暂不开放

特征分析

组成概览

元素组成(原子分数)
组成信息
主元 / 基质元素
O · 0.667
元素家族
Metalloid-Nonmetal
溶质分数
0.333
间隙分数
0.000

高熵合金特征

综合指标雷达(归一化)
元素类别占比
混合熵 ΔS/R
0.9972
高熵判据(>1.0 视为高熵)
混合熵 ΔS
8.2911
J/mol·K
Ω 参数
7.6921
Ω > 1.1 利于固溶体形成
原子尺寸错配 δr
43.786%
δr < 6.6% 利于单相固溶
电负性差 Δχ
0.7655
越小混合越稳定
价电子浓度 VEC
4.375
价电子浓度,影响相稳定性
混合焓 ΔH_mix
0.377
kJ/mol 且负值为放热混合
熵归一化
0.7194
固溶体倾向
0
相趋势
IM

关联任务

关联的计算任务 ID(2 个)

引用参考

Materials Project 官方页面
https://materialsproject.org/materials/mp-772482
参考引用

The crystal structure and related material properties of Mn3Sn3(TeO8)2 were obtained from the Materials Project database (MP-ID: mp-772482, database version v2026.04.13).

文献引用

Horton, M.K., Huck, P., Yang, R.X. et al. Accelerated data-driven materials science with the Materials Project. Nat. Mater. 24, 1522–1532 (2025). https://doi.org/10.1038/s41563-025-02272-0

BibTeX
@article{Horton2025,
  author  = {Horton, Matthew K. and Huck, Patrick and Yang, Ruo Xi and Munro, Jason M. and Dwaraknath, Shyam and Ganose, Alex M. and Kingsbury, Ryan S. and Wen, Mingjian and Shen, Jimmy X. and Mathis, Tyler S. and Kaplan, Aaron D. and Berket, Karlo and Riebesell, Janosh and George, Janine and Rosen, Andrew S. and Spotte-Smith, Evan W. C. and McDermott, Matthew J. and Cohen, Orion A. and Dunn, Alex and Kuner, Matthew C. and Rignanese, Gian-Marco and Petretto, Guido and Waroquiers, David and Griffin, Sinead M. and Neaton, Jeffrey B. and Chrzan, Daryl C. and Asta, Mark and Hautier, Geoffroy and Cholia, Shreyas and Ceder, Gerbrand and Ong, Shyue Ping and Jain, Anubhav and Persson, Kristin A.},
  title   = {Accelerated data-driven materials science with the Materials Project},
  journal = {Nature Materials},
  year    = {2025},
  volume  = {24},
  number  = {10},
  pages   = {1522--1532},
  month   = {oct},
  doi     = {10.1038/s41563-025-02272-0},
  issn    = {1476-4660},
  url     = {https://doi.org/10.1038/s41563-025-02272-0},
  abstract = {The Materials Project was launched formally in 2011 to drive materials discovery forwards through high-throughput computation and open data. More than a decade later, the Materials Project has become an indispensable tool used by more than 600,000 materials researchers around the world. This Perspective describes how the Materials Project, as a data platform and a software ecosystem, has helped to shape research in data-driven materials science. We cover how sustainable software and computational methods have accelerated materials design while becoming more open source and collaborative in nature. Next, we present cases where the Materials Project was used to understand and discover functional materials. We then describe our efforts to meet the needs of an expanding user base, through technical infrastructure updates ranging from data architecture and cloud resources to interactive web applications. Finally, we discuss opportunities to better aid the research community, with the vision that more accessible and easy-to-understand materials data will result in democratized materials knowledge and an increasingly collaborative community.}
}

晶体结构 3D 渲染

加载 3D 结构...

样式: Ball & Stick
原始 CIF 数据
# generated using pymatgen
data_Mn3Sn3(TeO8)2
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   6.33440618
_cell_length_b   6.33440618
_cell_length_c   9.32224822
_cell_angle_alpha   88.66555484
_cell_angle_beta   88.66555484
_cell_angle_gamma   59.10536903
_symmetry_Int_Tables_number   1
_chemical_formula_structural   Mn3Sn3(TeO8)2
_chemical_formula_sum   'Mn3 Sn3 Te2 O16'
_cell_volume   320.86421778
_cell_formula_units_Z   1
loop_
 _symmetry_equiv_pos_site_id
 _symmetry_equiv_pos_as_xyz
  1  'x, y, z'
loop_
 _atom_site_type_symbol
 _atom_site_label
 _atom_site_symmetry_multiplicity
 _atom_site_fract_x
 _atom_site_fract_y
 _atom_site_fract_z
 _atom_site_occupancy
  Mn  Mn0  1  0.83122800  0.83122800  0.79620300  1.0
  Mn  Mn1  1  0.16826800  0.66210600  0.29685800  1.0
  Mn  Mn2  1  0.66210600  0.16826800  0.29685800  1.0
  Sn  Sn3  1  0.33780600  0.83299300  0.79373600  1.0
  Sn  Sn4  1  0.83299300  0.33780600  0.79373600  1.0
  Sn  Sn5  1  0.16782000  0.16782000  0.29226200  1.0
  Te  Te6  1  0.67093700  0.67093700  0.51075200  1.0
  Te  Te7  1  0.33776000  0.33776000  0.01788600  1.0
  O  O8  1  0.36404700  0.82177400  0.40051900  1.0
  O  O9  1  0.52460900  0.52460900  0.64699900  1.0
  O  O10  1  0.66009300  0.66009300  0.90303900  1.0
  O  O11  1  0.00360200  0.00360200  0.70144000  1.0
  O  O12  1  0.99614900  0.99614900  0.21185700  1.0
  O  O13  1  0.82177400  0.36404700  0.40051900  1.0
  O  O14  1  0.51713800  0.94937500  0.64392100  1.0
  O  O15  1  0.94937500  0.51713800  0.64392100  1.0
  O  O16  1  0.18162800  0.18162800  0.89976000  1.0
  O  O17  1  0.82245200  0.82245200  0.39874800  1.0
  O  O18  1  0.04567000  0.47114900  0.14431600  1.0
  O  O19  1  0.47114900  0.04567000  0.14431600  1.0
  O  O20  1  0.33624100  0.33624100  0.39060900  1.0
  O  O21  1  0.18467200  0.63885700  0.90157100  1.0
  O  O22  1  0.47205800  0.47205800  0.15304000  1.0
  O  O23  1  0.63885700  0.18467200  0.90157100  1.0
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