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YbTe

Elasticity Data ELA

MP-ID: mp-1779 · Space group: Fm-3m (#225)

Basic Information

Formula
YbTe
MP-ID
mp-1779
Elements
2
Sites
2
Density
9.0895
g/cm³
Volume
54.92
ų
Cell a
4.2667
Å
Cell b
4.2667
Å
Cell c
4.2667
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 9)
2θd (Å)Ihkl
25.57 3.4837 4.6 (1,1,1)
29.61 3.0170 100.0 (1,1,0)
42.37 2.1333 75.7 (2,1,1)
50.14 1.8193 2.5 (2,2,1)
52.54 1.7419 27.0 (2,2,2)
61.47 1.5085 12.6 (2,2,0)
67.68 1.3843 1.1 (3,2,2)
69.69 1.3492 34.5 (3,2,1)
77.50 1.2317 25.7 (3,3,2)
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Energy Properties

Formation Energy/atom
-1.32788
eV/atom
Energy/atom
-32.30118
eV/atom
Energy above Hull
0.0000
eV/atom
Uncorrected Energy
-32.3012
eV/atom
Volume/atom
27.46
ų
c/a Ratio
-

Electronic Properties

Metallic
Non-metal
Band Gap
1.468
eV
Direct Gap
No
CBM
N/A
eV

Magnetic Properties

Magnetic
No
Total Mag. Moment
0.0000
μB
Mag. Ordering
NM
Mag. Sites
0
Magnetization/Volume
0.000000
μB/ų

Elastic Properties

KVRH
39.676
GPa
GVRH
26.050
GPa
Young's Modulus E
64.117
GPa
Poisson Ratio ν
0.231
Pugh Ratio K/G
1.523
Vickers Hardness Est.
5.232
GPa
Ductility
Ductile
Anisotropy
0.749
Lame λ
22.309
GPa

Feature Analysis

Composition Overview

Element Composition (atomic fraction)
Composition Info
Major / Matrix Element
Yb · 0.500
Element Family
Lanthanide
Solute Fraction
0.500
Interstitial Fraction
0.000

Elasticity Features

Elastic Modulus Comparison (GPa)
Elastic Features
Elastic Anisotropy AU
0.7490
Homogeneous Poisson ν
0.2310
Homogeneity
0.2310

Related Tasks

Citation & References

Materials Project Page
https://materialsproject.org/materials/mp-1779
Reference Citation

The crystal structure and related material properties of YbTe were obtained from the Materials Project database (MP-ID: mp-1779, 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_YbTe
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   4.26668576
_cell_length_b   4.26668576
_cell_length_c   4.26668576
_cell_angle_alpha   60.00000000
_cell_angle_beta   60.00000000
_cell_angle_gamma   60.00000000
_symmetry_Int_Tables_number   1
_chemical_formula_structural   YbTe
_chemical_formula_sum   'Yb1 Te1'
_cell_volume   54.92334487
_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
  Yb  Yb0  1  0.50000000  0.50000000  0.50000000  1.0
  Te  Te1  1  0.00000000  0.00000000  0.00000000  1.0
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