导航

HEAS Data Platform · 材料科学计算数据库

CdIn2O4

弹性数据 ELA

MP-ID: mp-675464 · 空间群: Imma (#74)

基础信息

化学式
CdIn2O4
MP-ID
mp-675464
元素数
3
位点数
14
密度
6.6920
g/cm³
体积
201.51
ų
晶胞参数 a
6.5838
Å
晶胞参数 b
6.5838
Å
晶胞参数 c
6.5838
Å
α 角
121.00
°
β 角
119.15
°
γ 角
89.88
°
空间群
Imma
点群
mmm
晶体系统
Orthorhombic
布拉维格子
Orthorhombic I
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
16.34 5.4234 5.3 (1,0,0)
16.66 5.3228 13.7 (0,1,0)
26.74 3.3343 13.3 (1,-1,1)
27.09 3.2913 52.6 (1,1,0)
27.51 3.2421 13.4 (1,-1,-1)
31.67 2.8257 97.8 (1,0,1)
31.77 2.8162 44.2 (2,1,-1)
31.94 2.8018 53.9 (1,2,-1)
32.17 2.7828 100.0 (0,1,1)
33.03 2.7117 36.4 (2,0,0)
33.68 2.6614 25.8 (0,2,0)
38.64 2.3301 12.2 (2,2,-2)
38.74 2.3244 23.8 (0,0,2)
42.52 2.1261 2.5 (1,2,0)
47.43 1.9167 11.0 (2,0,1)
47.61 1.9100 5.3 (3,1,-1)
48.09 1.8921 5.0 (1,3,-1)
48.39 1.8811 10.5 (0,2,1)
50.48 1.8078 11.2 (3,0,0)
50.75 1.7989 27.7 (1,0,2)
50.86 1.7953 15.3 (3,2,-2)
50.97 1.7915 12.1 (2,3,-2)
51.32 1.7803 28.0 (0,1,2)
51.51 1.7743 11.9 (0,3,0)
获取直接链接

能量属性

形成能/原子
-1.76422
eV/atom
能量/原子
-5.51711
eV/atom
凸包距离
0.0778
eV/atom
未修正能量
-5.1245
eV/atom
体积/原子
14.39
ų
c/a 比
-

电子属性

金属性
非金属
带隙
0.001
eV
直接带隙
否
导带底 CBM
N/A
eV

磁性属性

磁性
否
总磁矩
0.0009
μB
磁有序
NM
磁性位点数
0
磁化强度/体积
0.000000
μB/ų

弹性属性

体积模量 KVRH
132.026
GPa
剪切模量 GVRH
41.566
GPa
杨氏模量 E
112.855
GPa
泊松比 ν
0.358
Pugh 比 K/G
3.176
维氏硬度估算
1.579
GPa
韧性
Brittle
各向异性
0.583
拉梅 λ
104.315
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
O · 0.571
元素家族
Metalloid-Nonmetal
溶质分数
0.429
间隙分数
0.000

弹性数据特征

弹性模量对比 (GPa)
弹性特征
弹性各向异性 AU
0.5830
均匀泊松比 ν
0.3580
Debye 温度
363.4
K
声速
2,804.9
m/s
均匀度
0.3580

关联任务

关联的计算任务 ID(3 个)

引用参考

Materials Project 官方页面
https://materialsproject.org/materials/mp-675464
参考引用

The crystal structure and related material properties of CdIn2O4 were obtained from the Materials Project database (MP-ID: mp-675464, 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_CdIn2O4
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   6.58383083
_cell_length_b   6.58383083
_cell_length_c   6.58383083
_cell_angle_alpha   120.99928837
_cell_angle_beta   119.14600652
_cell_angle_gamma   89.88172647
_symmetry_Int_Tables_number   1
_chemical_formula_structural   CdIn2O4
_chemical_formula_sum   'Cd2 In4 O8'
_cell_volume   201.51178639
_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
  Cd  Cd0  1  0.50000000  0.00000000  0.00000000  1.0
  Cd  Cd1  1  0.50000000  0.50000000  0.50000000  1.0
  In  In2  1  0.88357200  0.13357200  0.75000000  1.0
  In  In3  1  0.11642800  0.86642800  0.25000000  1.0
  In  In4  1  0.50000000  0.50000000  0.00000000  1.0
  In  In5  1  0.00000000  0.50000000  0.50000000  1.0
  O  O6  1  0.24800000  0.72885200  0.98085200  1.0
  O  O7  1  0.24800000  0.26714800  0.51914800  1.0
  O  O8  1  0.72993600  0.73473700  0.99519900  1.0
  O  O9  1  0.23953800  0.73473700  0.50480100  1.0
  O  O10  1  0.76046200  0.26526300  0.49519900  1.0
  O  O11  1  0.27006400  0.26526300  0.00480100  1.0
  O  O12  1  0.75200000  0.73285200  0.48085200  1.0
  O  O13  1  0.75200000  0.27114800  0.01914800  1.0
获取直接链接