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Sc2O3

弹性数据 ELA

MP-ID: mp-754455 · 空间群: R-3 (#148)

基础信息

化学式
Sc2O3
MP-ID
mp-754455
元素数
2
位点数
10
密度
3.6942
g/cm³
体积
123.98
ų
晶胞参数 a
5.4002
Å
晶胞参数 b
5.8156
Å
晶胞参数 c
5.4002
Å
α 角
117.66
°
β 角
60.00
°
γ 角
117.66
°
空间群
R-3
点群
-3
晶体系统
Trigonal
布拉维格子
Trigonal R
稳定性
否
堆积分数
0.7400

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
18.07 4.9092 100.0 (0,1,0)
19.92 4.4574 11.9 (0,0,1)
19.92 4.4574 23.8 (1,-1,1)
22.52 3.9478 14.2 (1,0,1)
30.91 2.8929 61.1 (0,1,1)
30.91 2.8929 30.6 (1,1,0)
33.18 2.7001 79.3 (1,-1,2)
33.18 2.7001 39.6 (2,-1,1)
36.04 2.4924 32.4 (1,-2,0)
36.61 2.4546 1.1 (0,2,0)
38.03 2.3659 63.2 (2,-2,1)
38.03 2.3659 31.0 (2,0,1)
39.00 2.3094 1.2 (2,-1,0)
45.98 1.9739 50.3 (2,0,2)
47.38 1.9187 8.8 (0,2,1)
47.38 1.9187 4.4 (1,2,0)
49.79 1.8314 15.0 (0,1,2)
49.79 1.8314 7.5 (2,1,0)
50.23 1.8163 64.6 (1,1,2)
50.23 1.8163 32.3 (2,1,1)
52.11 1.7550 1.1 (1,-1,3)
52.11 1.7550 2.2 (2,0,-1)
53.30 1.7188 1.6 (2,-1,-1)
56.21 1.6364 2.7 (0,3,0)
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能量属性

形成能/原子
-3.87146
eV/atom
能量/原子
-9.37323
eV/atom
凸包距离
0.0973
eV/atom
未修正能量
-11.9011
eV/atom
体积/原子
12.40
ų
c/a 比
1.0000

电子属性

金属性
非金属
带隙
4.053
eV
直接带隙
否
导带底 CBM
N/A
eV

磁性属性

磁性
是
总磁矩
0.0000
μB
磁有序
Unknown
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
138.896
GPa
剪切模量 GVRH
69.540
GPa
杨氏模量 E
178.783
GPa
泊松比 ν
0.285
Pugh 比 K/G
1.997
维氏硬度估算
7.646
GPa
韧性
Brittle
各向异性
0.763
拉梅 λ
92.536
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 · 0.600
元素家族
Metalloid-Nonmetal
溶质分数
0.400
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
0.7630
均匀泊松比 ν
0.2850
Debye 温度
717.4
K
声速
4,837.4
m/s
均匀度
0.2850

关联任务

引用参考

Materials Project 官方页面
https://materialsproject.org/materials/mp-754455
参考引用

The crystal structure and related material properties of Sc2O3 were obtained from the Materials Project database (MP-ID: mp-754455, 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_Sc2O3
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   5.40016156
_cell_length_b   5.81557763
_cell_length_c   5.40016255
_cell_angle_alpha   117.66390997
_cell_angle_beta   60.00000145
_cell_angle_gamma   117.66391509
_symmetry_Int_Tables_number   1
_chemical_formula_structural   Sc2O3
_chemical_formula_sum   'Sc4 O6'
_cell_volume   123.98123691
_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
  Sc  Sc0  1  -0.00000000  0.00000000  -0.00000000  1.0
  Sc  Sc1  1  0.29992873  0.89978418  0.29992873  1.0
  Sc  Sc2  1  0.50000000  0.50000000  0.50000000  1.0
  Sc  Sc3  1  0.70007127  0.10021582  0.70007127  1.0
  O  O4  1  0.28723661  0.78239198  0.61122475  1.0
  O  O5  1  0.38877525  0.21760802  0.11607038  1.0
  O  O6  1  0.11607038  0.21760802  0.71276339  1.0
  O  O7  1  0.88392962  0.78239198  0.28723661  1.0
  O  O8  1  0.61122475  0.78239198  0.88392962  1.0
  O  O9  1  0.71276339  0.21760802  0.38877525  1.0
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