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Al4C3

弹性数据 ELA

MP-ID: mp-1591 · 空间群: R-3m (#166)

基础信息

化学式
Al4C3
MP-ID
mp-1591
元素数
2
位点数
7
密度
2.9918
g/cm³
体积
79.90
ų
晶胞参数 a
8.5252
Å
晶胞参数 b
8.5252
Å
晶胞参数 c
8.5252
Å
α 角
22.55
°
β 角
22.55
°
γ 角
22.55
°
空间群
R-3m
点群
-3m
晶体系统
Trigonal
布拉维格子
Trigonal R
稳定性
是
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
10.65 8.3052 3.9 (1,1,1)
21.40 4.1526 13.3 (2,2,2)
31.19 2.8673 19.9 (0,1,0)
31.19 2.8673 39.8 (1,0,0)
31.82 2.8120 44.9 (1,0,1)
31.82 2.8120 89.7 (1,1,0)
32.34 2.7684 6.8 (3,3,3)
35.96 2.4977 57.3 (2,2,1)
35.96 2.4977 28.7 (1,2,2)
40.22 2.2419 50.0 (2,3,2)
40.22 2.2419 100.0 (3,2,2)
42.71 2.1171 9.2 (3,3,2)
42.71 2.1171 4.6 (2,3,3)
43.59 2.0763 62.8 (4,4,4)
48.25 1.8861 10.0 (3,4,3)
48.25 1.8861 19.9 (4,3,3)
51.27 1.7819 6.9 (4,4,3)
51.27 1.7819 13.8 (4,3,4)
55.11 1.6665 92.7 (1,-1,0)
55.11 1.6665 46.3 (1,0,-1)
59.80 1.5466 2.4 (3,1,2)
59.80 1.5466 1.2 (3,2,1)
61.18 1.5149 30.2 (5,5,4)
61.18 1.5149 15.1 (4,5,5)
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能量属性

形成能/原子
-0.23826
eV/atom
能量/原子
-8.34827
eV/atom
凸包距离
0.0000
eV/atom
未修正能量
-8.3483
eV/atom
体积/原子
11.41
ų
c/a 比
1.0000

电子属性

金属性
非金属
带隙
1.316
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
159.382
GPa
剪切模量 GVRH
112.747
GPa
杨氏模量 E
273.702
GPa
泊松比 ν
0.214
Pugh 比 K/G
1.414
维氏硬度估算
18.165
GPa
韧性
Ductile
各向异性
0.206
拉梅 λ
84.217
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
Al · 0.571
元素家族
PostTransition-Noble
溶质分数
0.429
间隙分数
0.429

弹性数据特征

弹性模量对比 (GPa)
弹性特征
弹性各向异性 AU
0.2060
均匀泊松比 ν
0.2140
Debye 温度
897.3
K
声速
6,787.4
m/s
均匀度
0.2140

关联任务

引用参考

Materials Project 官方页面
https://materialsproject.org/materials/mp-1591
参考引用

The crystal structure and related material properties of Al4C3 were obtained from the Materials Project database (MP-ID: mp-1591, 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_Al4C3
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   8.52522866
_cell_length_b   8.52522883
_cell_length_c   8.52522826
_cell_angle_alpha   22.54559014
_cell_angle_beta   22.54558296
_cell_angle_gamma   22.54558793
_symmetry_Int_Tables_number   1
_chemical_formula_structural   Al4C3
_chemical_formula_sum   'Al4 C3'
_cell_volume   79.90244024
_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
  Al  Al0  1  0.86987806  0.86987806  0.86987806  1.0
  Al  Al1  1  0.13012194  0.13012194  0.13012194  1.0
  Al  Al2  1  0.70648680  0.70648680  0.70648680  1.0
  Al  Al3  1  0.29351320  0.29351320  0.29351320  1.0
  C  C4  1  0.78327526  0.78327526  0.78327526  1.0
  C  C5  1  0.21672474  0.21672474  0.21672474  1.0
  C  C6  1  -0.00000000  -0.00000000  0.00000000  1.0
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