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HEAS Data Platform · 材料科学计算数据库

GdBi

传统材料 TRA

MP-ID: mp-614481 · 空间群: Fm-3m (#225)

基础信息

化学式
GdBi
MP-ID
mp-614481
元素数
2
位点数
2
密度
9.3306
g/cm³
体积
65.18
ų
晶胞参数 a
4.5164
Å
晶胞参数 b
4.5161
Å
晶胞参数 c
4.5162
Å
α 角
60.03
°
β 角
60.03
°
γ 角
60.03
°
空间群
Fm-3m
点群
m-3m
晶体系统
Cubic
布拉维格子
Cubic F
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
24.12 3.6890 2.7 (1,0,0)
24.13 3.6888 2.7 (0,0,1)
24.13 3.6886 2.7 (0,1,0)
24.14 3.6867 2.7 (1,1,1)
27.93 3.1942 100.0 (1,1,0)
27.93 3.1942 100.0 (0,1,1)
27.93 3.1941 100.0 (1,0,1)
39.90 2.2592 39.2 (1,0,-1)
39.91 2.2591 39.2 (1,-1,0)
39.91 2.2590 39.2 (0,1,-1)
39.92 2.2582 39.2 (2,1,1)
39.92 2.2581 39.2 (1,1,2)
39.93 2.2580 39.2 (1,2,1)
47.18 1.9263 1.1 (2,0,1)
49.41 1.8445 21.4 (2,0,0)
49.41 1.8444 21.4 (0,0,2)
49.42 1.8443 21.4 (0,2,0)
49.44 1.8433 21.4 (2,2,2)
57.72 1.5971 13.5 (2,2,0)
57.72 1.5971 13.5 (0,2,2)
57.73 1.5971 13.5 (2,0,2)
65.31 1.4288 9.4 (2,1,-1)
65.31 1.4288 9.4 (1,-1,-2)
65.31 1.4287 9.4 (1,-2,-1)
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能量属性

形成能/原子
-1.05840
eV/atom
能量/原子
-52.00804
eV/atom
凸包距离
0.0000
eV/atom
未修正能量
-52.0080
eV/atom
体积/原子
32.59
ų
c/a 比
-

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
7.0042
μB
磁有序
Unknown
磁性位点数
0
磁化强度/体积
0.107460
μB/ų

弹性属性

弹性数据暂不开放

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
Gd · 0.500
元素家族
N/A
溶质分数
0.500
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
0.624
家族
Binary Alloy
基质元素
Gd · 0.500

关联任务

引用参考

Materials Project 官方页面
https://materialsproject.org/materials/mp-614481
参考引用

The crystal structure and related material properties of GdBi were obtained from the Materials Project database (MP-ID: mp-614481, 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_GdBi
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   4.51639642
_cell_length_b   4.51605227
_cell_length_c   4.51624221
_cell_angle_alpha   60.02724195
_cell_angle_beta   60.03041634
_cell_angle_gamma   60.02831564
_symmetry_Int_Tables_number   1
_chemical_formula_structural   GdBi
_chemical_formula_sum   'Gd1 Bi1'
_cell_volume   65.17713699
_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
  Gd  Gd0  1  0.50000092  0.49999956  0.49999975  1.0
  Bi  Bi1  1  0.99999908  0.00000044  0.00000025  1.0
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