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CeSiHRu

高熵材料 HEA 弹性数据 ELA

MP-ID: mp-604496 · 空间群: P4/nmm (#129)

基础信息

化学式
CeSiHRu
MP-ID
mp-604496
元素数
4
位点数
8
密度
7.1231
g/cm³
体积
126.02
ų
晶胞参数 a
4.1748
Å
晶胞参数 b
4.1748
Å
晶胞参数 c
7.2304
Å
α 角
90.00
°
β 角
90.00
°
γ 角
90.00
°
空间群
P4/nmm
点群
4/mmm
晶体系统
Tetragonal
布拉维格子
Tetragonal P
稳定性
否
堆积分数
0.6800

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
12.24 7.2304 30.0 (0,0,1)
24.62 3.6154 81.2 (1,0,1)
30.28 2.9520 10.3 (1,1,0)
32.77 2.7330 100.0 (1,1,1)
32.77 2.7329 86.6 (1,0,2)
37.31 2.4101 33.3 (0,0,3)
39.41 2.2865 92.8 (1,1,2)
43.35 2.0874 71.2 (2,0,0)
45.21 2.0055 4.1 (2,0,1)
50.49 1.8077 23.9 (2,1,1)
55.39 1.6589 38.2 (2,1,2)
55.39 1.6588 20.6 (1,0,4)
58.50 1.5779 35.9 (2,0,3)
60.01 1.5416 23.6 (1,1,4)
62.97 1.4760 23.1 (2,2,0)
64.43 1.4462 1.4 (2,2,1)
68.69 1.3665 4.7 (3,0,1)
68.69 1.3664 3.8 (1,0,5)
71.46 1.3202 1.9 (3,1,0)
72.83 1.2987 19.4 (3,1,1)
72.83 1.2987 8.4 (3,0,2)
72.83 1.2987 18.2 (2,1,4)
72.83 1.2986 11.9 (1,1,5)
75.54 1.2587 16.7 (2,2,3)
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能量属性

形成能/原子
-0.74367
eV/atom
能量/原子
-6.75163
eV/atom
凸包距离
0.0429
eV/atom
未修正能量
-6.7516
eV/atom
体积/原子
15.75
ų
c/a 比
1.7319

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
1.5753
μB
磁有序
FM
磁性位点数
2
磁化强度/体积
0.012500
μB/ų

弹性属性

体积模量 KVRH
84.663
GPa
剪切模量 GVRH
65.472
GPa
杨氏模量 E
156.161
GPa
泊松比 ν
0.193
Pugh 比 K/G
1.293
维氏硬度估算
14.093
GPa
韧性
Ductile
各向异性
0.788
拉梅 λ
41.015
GPa

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
Ce · 0.250
元素家族
Lanthanide
溶质分数
0.750
间隙分数
0.250

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
1.3863
高熵判据(>1.0 视为高熵)
混合熵 ΔS
11.5257
J/mol·K
Ω 参数
0.8743
Ω > 1.1 利于固溶体形成
原子尺寸错配 δr
50.154%
δr < 6.6% 利于单相固溶
电负性差 Δχ
0.4417
越小混合越稳定
价电子浓度 VEC
4.000
价电子浓度,影响相稳定性
混合焓 ΔH_mix
-17.719
kJ/mol 且负值为放热混合
熵归一化
1.0000
固溶体倾向
0
相趋势
AM

弹性数据特征

弹性模量对比 (GPa)
弹性特征
弹性各向异性 AU
0.7880
均匀泊松比 ν
0.1930
Debye 温度
397.6
K
声速
3,344.4
m/s
均匀度
0.1930

关联任务

引用参考

Materials Project 官方页面
https://materialsproject.org/materials/mp-604496
参考引用

The crystal structure and related material properties of CeSiHRu were obtained from the Materials Project database (MP-ID: mp-604496, 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_CeSiHRu
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   4.17474600
_cell_length_b   4.17474600
_cell_length_c   7.23040900
_cell_angle_alpha   90.00000000
_cell_angle_beta   90.00000000
_cell_angle_gamma   90.00000000
_symmetry_Int_Tables_number   1
_chemical_formula_structural   CeSiHRu
_chemical_formula_sum   'Ce2 Si2 H2 Ru2'
_cell_volume   126.01521337
_cell_formula_units_Z   2
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
  Ce  Ce0  1  0.50000000  0.00000000  0.66962100  1.0
  Ce  Ce1  1  0.00000000  0.50000000  0.33037900  1.0
  Si  Si2  1  0.50000000  0.00000000  0.16298200  1.0
  Si  Si3  1  0.00000000  0.50000000  0.83701800  1.0
  H  H4  1  0.00000000  0.00000000  0.50000000  1.0
  H  H5  1  0.50000000  0.50000000  0.50000000  1.0
  Ru  Ru6  1  0.00000000  0.00000000  0.00000000  1.0
  Ru  Ru7  1  0.50000000  0.50000000  0.00000000  1.0
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