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LuN

Elasticity Data ELA

MP-ID: mp-1102 · Space group: Fm-3m (#225)

Basic Information

Formula
LuN
MP-ID
mp-1102
Elements
2
Sites
2
Density
11.9068
g/cm³
Volume
26.35
ų
Cell a
3.3403
Å
Cell b
3.3403
Å
Cell c
3.3403
Å
α Angle
60.00
°
β Angle
60.00
°
γ Angle
60.00
°
Space Group
Fm-3m
Point Group
m-3m
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 10)
2θd (Å)Ihkl
32.84 2.7274 33.3 (0,1,0)
32.84 2.7274 100.0 (1,1,1)
38.10 2.3620 91.9 (1,1,0)
54.98 1.6702 20.9 (1,2,1)
54.98 1.6702 41.8 (1,0,-1)
65.54 1.4243 34.0 (1,2,0)
65.54 1.4243 24.3 (2,1,0)
68.85 1.3637 5.3 (0,2,0)
68.85 1.3637 15.8 (2,2,2)
81.50 1.1810 10.0 (2,2,0)
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Energy Properties

Formation Energy/atom
-2.21571
eV/atom
Energy/atom
-25.82002
eV/atom
Energy above Hull
0.0000
eV/atom
Uncorrected Energy
-25.8200
eV/atom
Volume/atom
13.18
ų
c/a Ratio
-

Electronic Properties

Metallic
Non-metal
Band Gap
0.233
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
178.449
GPa
GVRH
146.135
GPa
Young's Modulus E
344.395
GPa
Poisson Ratio ν
0.178
Pugh Ratio K/G
1.221
Vickers Hardness Est.
26.235
GPa
Ductility
Ductile
Anisotropy
0.000
Lame λ
81.026
GPa

Feature Analysis

Composition Overview

Element Composition (atomic fraction)
Composition Info
Major / Matrix Element
Lu · 0.500
Element Family
Lanthanide
Solute Fraction
0.500
Interstitial Fraction
0.500

Elasticity Features

Elastic Modulus Comparison (GPa)
Elastic Features
Elastic Anisotropy AU
0.0000
Homogeneous Poisson ν
0.1780
Debye Temperature
1,157.5
K
Sound Velocity
3,858.8
m/s
Homogeneity
0.1780

Related Tasks

Citation & References

Materials Project Page
https://materialsproject.org/materials/mp-1102
Reference Citation

The crystal structure and related material properties of LuN were obtained from the Materials Project database (MP-ID: mp-1102, 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_LuN
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   3.34033850
_cell_length_b   3.34033906
_cell_length_c   3.34033857
_cell_angle_alpha   60.00000474
_cell_angle_beta   59.99999916
_cell_angle_gamma   59.99999930
_symmetry_Int_Tables_number   1
_chemical_formula_structural   LuN
_chemical_formula_sum   'Lu1 N1'
_cell_volume   26.35460621
_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
  Lu  Lu0  1  -0.00000000  0.00000000  0.00000000  1.0
  N  N1  1  0.50000000  0.50000000  0.50000000  1.0
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