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HoNiBi

Elasticity Data ELA

MP-ID: mp-1018139 · Space group: F-43m (#216)

Basic Information

Formula
HoNiBi
MP-ID
mp-1018139
Elements
3
Sites
3
Density
10.8875
g/cm³
Volume
65.98
ų
Cell a
4.5357
Å
Cell b
4.5357
Å
Cell c
4.5357
Å
α Angle
60.00
°
β Angle
60.00
°
γ Angle
60.00
°
Space Group
F-43m
Point Group
-43m
Crystal System
Cubic
Bravais Lattice
Cubic F
Stability
Yes
Packing Fraction
0.7400

X-ray Diffraction

Diffraction Pattern
X-axis: 2θ (°); Y-axis: relative intensity; CuKa ; λ=1.5406 Å
Diffraction Peaks (Top 11)
2θd (Å)Ihkl
24.03 3.7034 8.0 (1,1,1)
27.82 3.2072 62.0 (1,1,0)
39.75 2.2678 100.0 (2,1,1)
46.98 1.9340 4.1 (2,2,1)
49.21 1.8517 18.1 (2,2,2)
57.47 1.6036 17.1 (2,2,0)
63.19 1.4716 1.7 (3,2,2)
65.03 1.4343 24.3 (3,2,1)
72.14 1.3093 34.9 (3,3,2)
77.29 1.2345 1.3 (3,3,3)
85.67 1.1339 11.4 (4,2,2)
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Energy Properties

Formation Energy/atom
-0.66176
eV/atom
Energy/atom
-5.41771
eV/atom
Energy above Hull
0.0000
eV/atom
Uncorrected Energy
-35.2023
eV/atom
Volume/atom
21.99
ų
c/a Ratio
-

Electronic Properties

Metallic
Non-metal
Band Gap
0.193
eV
Direct Gap
No
CBM
N/A
eV

Magnetic Properties

Magnetic
Yes
Total Mag. Moment
0.0000
μB
Mag. Ordering
Unknown
Mag. Sites
0
Magnetization/Volume
0.000000
μB/ų

Elastic Properties

KVRH
81.591
GPa
GVRH
50.118
GPa
Young's Modulus E
124.801
GPa
Poisson Ratio ν
0.245
Pugh Ratio K/G
1.628
Vickers Hardness Est.
8.166
GPa
Ductility
Ductile
Anisotropy
0.154
Lame λ
48.179
GPa

Feature Analysis

Composition Overview

Element Composition (atomic fraction)
Composition Info
Major / Matrix Element
Ho · 0.333
Element Family
Lanthanide
Solute Fraction
0.667
Interstitial Fraction
0.000

Elasticity Features

Elastic Modulus Comparison (GPa)
Elastic Features
Elastic Anisotropy AU
0.1540
Homogeneous Poisson ν
0.2450
Debye Temperature
296.8
K
Sound Velocity
2,380.6
m/s
Homogeneity
0.2450

Related Tasks

Citation & References

Materials Project Page
https://materialsproject.org/materials/mp-1018139
Reference Citation

The crystal structure and related material properties of HoNiBi were obtained from the Materials Project database (MP-ID: mp-1018139, database version v2026.04.13).

Literature Citation

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.}
}

3D Crystal Structure Rendering

Loading 3D structure…

Style: Ball & Stick
Raw CIF Data
# generated using pymatgen
data_HoNiBi
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   4.53568466
_cell_length_b   4.53568466
_cell_length_c   4.53568466
_cell_angle_alpha   60.00000000
_cell_angle_beta   60.00000000
_cell_angle_gamma   60.00000000
_symmetry_Int_Tables_number   1
_chemical_formula_structural   HoNiBi
_chemical_formula_sum   'Ho1 Ni1 Bi1'
_cell_volume   65.98018985
_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
  Ho  Ho0  1  0.50000000  0.50000000  0.50000000  1.0
  Ni  Ni1  1  0.75000000  0.75000000  0.75000000  1.0
  Bi  Bi2  1  -0.00000000  -0.00000000  -0.00000000  1.0
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