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HEAS Data Platform · 材料科学计算数据库

Au3N

传统材料 TRA

MP-ID: mp-971657 · 空间群: P-1 (#2)

基础信息

化学式
Au3N
MP-ID
mp-971657
元素数
2
位点数
8
密度
14.1051
g/cm³
体积
142.43
ų
晶胞参数 a
2.7453
Å
晶胞参数 b
5.5611
Å
晶胞参数 c
9.6854
Å
α 角
76.20
°
β 角
85.33
°
γ 角
83.43
°
空间群
P-1
点群
-1
晶体系统
Triclinic
布拉维格子
Triclinic P
稳定性
否
堆积分数
0.5240

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
9.42 9.3910 100.0 (0,0,1)
16.49 5.3745 45.6 (0,1,0)
17.01 5.2138 49.3 (0,1,1)
20.86 4.2589 7.5 (0,1,-1)
22.07 4.0281 2.2 (0,1,2)
27.98 3.1891 8.4 (0,1,-2)
28.51 3.1303 13.4 (0,0,3)
29.51 3.0268 9.0 (0,1,3)
33.75 2.6554 3.4 (1,0,1)
34.40 2.6069 91.2 (0,2,2)
34.82 2.5768 13.0 (1,0,-1)
35.46 2.5313 15.5 (1,1,0)
36.41 2.4679 13.3 (0,1,-3)
36.86 2.4385 37.9 (0,2,-1)
37.23 2.4151 10.8 (1,0,2)
37.55 2.3953 1.0 (1,1,2)
38.11 2.3613 10.8 (0,1,4)
38.29 2.3506 86.1 (1,1,-1)
38.34 2.3478 85.3 (0,0,4)
38.50 2.3382 18.4 (1,-1,0)
38.78 2.3219 32.2 (0,2,3)
39.17 2.3001 9.3 (1,0,-2)
39.21 2.2973 1.4 (1,-1,-1)
40.23 2.2415 71.9 (1,-1,1)
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能量属性

形成能/原子
0.69298
eV/atom
能量/原子
-39.52793
eV/atom
凸包距离
0.6930
eV/atom
未修正能量
-3.7563
eV/atom
体积/原子
17.80
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
否
总磁矩
0.0002
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

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
Au · 0.750
元素家族
N/A
溶质分数
0.250
间隙分数
0.250

传统材料特征

ROM 混合特征雷达
评级与分类
评级 Tier
A
评分
0.686
家族
Binary Alloy
基质元素
Au · 0.750

关联任务

引用参考

Materials Project 官方页面
https://materialsproject.org/materials/mp-971657
参考引用

The crystal structure and related material properties of Au3N were obtained from the Materials Project database (MP-ID: mp-971657, 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_Au3N
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   2.74527300
_cell_length_b   5.56108035
_cell_length_c   9.68543822
_cell_angle_alpha   76.20009343
_cell_angle_beta   85.32584537
_cell_angle_gamma   83.42570804
_symmetry_Int_Tables_number   1
_chemical_formula_structural   Au3N
_chemical_formula_sum   'Au6 N2'
_cell_volume   142.42698199
_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
  Au  Au0  1  0.72870900  0.34342300  0.63031100  1.0
  Au  Au1  1  0.22606300  0.44147000  0.13308000  1.0
  Au  Au2  1  0.73608600  0.13928800  0.37245800  1.0
  Au  Au3  1  0.77393700  0.55853000  0.86692000  1.0
  Au  Au4  1  0.26391400  0.86071200  0.62754200  1.0
  Au  Au5  1  0.27129100  0.65657700  0.36968900  1.0
  N  N6  1  0.50000000  0.00000000  0.00000000  1.0
  N  N7  1  0.00000000  0.00000000  0.00000000  1.0
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