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HEAS Data Platform · 材料科学计算数据库

Sr3Li

传统材料 TRA

MP-ID: mp-972285 · 空间群: I4/mmm (#139)

基础信息

化学式
Sr3Li
MP-ID
mp-972285
元素数
2
位点数
4
密度
2.3439
g/cm³
体积
191.14
ų
晶胞参数 a
7.2558
Å
晶胞参数 b
7.2558
Å
晶胞参数 c
7.2558
Å
α 角
134.53
°
β 角
134.53
°
γ 角
66.27
°
空间群
I4/mmm
点群
4/mmm
晶体系统
Tetragonal
布拉维格子
Tetragonal I
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
14.58 6.0760 9.9 (1,1,-1)
17.41 5.0925 26.5 (1,0,0)
22.42 3.9660 7.4 (0,0,1)
26.84 3.3211 100.0 (1,1,0)
27.16 3.2838 9.2 (2,1,-1)
29.40 3.0380 19.8 (2,2,-2)
31.91 2.8044 31.9 (1,-1,1)
35.25 2.5463 4.6 (2,0,0)
36.58 2.4565 8.3 (1,0,1)
37.28 2.4117 4.0 (2,2,-1)
40.45 2.2300 3.1 (3,2,-2)
42.38 2.1326 5.5 (2,1,0)
43.94 2.0607 26.0 (3,1,-1)
45.76 1.9830 11.5 (0,0,2)
48.28 1.8851 1.9 (1,1,1)
49.32 1.8479 1.7 (2,-1,1)
50.61 1.8038 17.1 (3,3,-2)
51.53 1.7737 1.5 (1,-1,2)
52.42 1.7455 2.9 (3,2,-1)
53.85 1.7026 28.3 (2,0,1)
54.02 1.6975 1.3 (3,0,0)
55.32 1.6606 13.1 (2,2,0)
55.40 1.6584 1.2 (4,3,-3)
56.01 1.6419 1.2 (4,2,-2)
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能量属性

形成能/原子
0.09470
eV/atom
能量/原子
-11.86122
eV/atom
凸包距离
0.0947
eV/atom
未修正能量
-1.6497
eV/atom
体积/原子
47.79
ų
c/a 比
1.0000

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
否
总磁矩
0.0555
μB
磁有序
NM
磁性位点数
0
磁化强度/体积
0.000290
μB/ų

弹性属性

体积模量 KVRH
11.008
GPa
剪切模量 GVRH
8.744
GPa
杨氏模量 E
20.740
GPa
泊松比 ν
0.186
Pugh 比 K/G
1.259
维氏硬度估算
-
GPa
韧性
Ductile
各向异性
-1.941
拉梅 λ
5.179
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
Sr · 0.750
元素家族
N/A
溶质分数
0.250
间隙分数
0.000

传统材料特征

ROM 混合特征雷达
评级与分类
评级 Tier
A
评分
0.658
家族
Binary Alloy
基质元素
Sr · 0.750

关联任务

关联的计算任务 ID(1 个)

引用参考

Materials Project 官方页面
https://materialsproject.org/materials/mp-972285
参考引用

The crystal structure and related material properties of Sr3Li were obtained from the Materials Project database (MP-ID: mp-972285, 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_Sr3Li
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   7.25583338
_cell_length_b   7.25583338
_cell_length_c   7.25583338
_cell_angle_alpha   134.52606878
_cell_angle_beta   134.52606878
_cell_angle_gamma   66.26748019
_symmetry_Int_Tables_number   1
_chemical_formula_structural   Sr3Li
_chemical_formula_sum   'Sr3 Li1'
_cell_volume   191.14145425
_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
  Sr  Sr0  1  0.75000000  0.25000000  0.50000000  1.0
  Sr  Sr1  1  0.25000000  0.75000000  0.50000000  1.0
  Sr  Sr2  1  0.50000000  0.50000000  0.00000000  1.0
  Li  Li3  1  0.00000000  0.00000000  0.00000000  1.0
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