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Fe2Ge

Traditional Materials TRA

MP-ID: mp-568258 · Space group: P6/mmm (#191)

Basic Information

Formula
Fe2Ge
MP-ID
mp-568258
Elements
2
Sites
3
Density
7.7624
g/cm³
Volume
39.43
ų
Cell a
2.6265
Å
Cell b
4.1636
Å
Cell c
4.1636
Å
α Angle
120.00
°
β Angle
90.00
°
γ Angle
90.00
°
Space Group
P6/mmm
Point Group
6/mmm
Crystal System
Hexagonal
Bravais Lattice
Hexagonal P
Stability
No
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
24.69 3.6058 2.9 (0,1,-1,-1)
34.14 2.6265 3.2 (1,0,-1,0)
42.59 2.1230 100.0 (1,1,-2,-1)
43.47 2.0818 97.0 (0,2,-2,-1)
56.40 1.6315 3.5 (1,2,-3,-1)
62.48 1.4864 30.2 (1,2,-3,-2)
71.89 1.3132 6.6 (2,0,-2,0)
79.18 1.2097 29.5 (1,3,-4,-2)
79.79 1.2019 14.6 (0,3,-3,-3)
87.91 1.1107 22.9 (2,2,-4,-1)
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Energy Properties

Formation Energy/atom
0.22274
eV/atom
Energy/atom
-6.96495
eV/atom
Energy above Hull
0.3679
eV/atom
Uncorrected Energy
-6.9650
eV/atom
Volume/atom
13.14
ų
c/a Ratio
1.5853

Electronic Properties

Metallic
Metal
Band Gap
0
eV
Direct Gap
No
CBM
N/A
eV

Magnetic Properties

Magnetic
Yes
Total Mag. Moment
5.1020
μB
Mag. Ordering
FM
Mag. Sites
2
Magnetization/Volume
0.129390
μB/ų

Elastic Properties

KVRH
127.241
GPa
GVRH
300.763
GPa
Young's Modulus E
504.662
GPa
Poisson Ratio ν
-0.161
Pugh Ratio K/G
0.423
Vickers Hardness Est.
-
GPa
Ductility
Ductile
Anisotropy
-4.816
Lame λ
-73.268
GPa

Feature Analysis

Composition Overview

Element Composition (atomic fraction)
Composition Info
Major / Matrix Element
Fe · 0.667
Element Family
N/A
Solute Fraction
0.333
Interstitial Fraction
0.000

Traditional Material Features

ROM Blended-Feature Radar
Rating & Classification
Tier
A
Score
0.668
Family
Fe-rich Alloy
Matrix Element
Fe · 0.667

Related Tasks

Citation & References

Materials Project Page
https://materialsproject.org/materials/mp-568258
Reference Citation

The crystal structure and related material properties of Fe2Ge were obtained from the Materials Project database (MP-ID: mp-568258, 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_Fe2Ge
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   2.62646600
_cell_length_b   4.16363416
_cell_length_c   4.16363416
_cell_angle_alpha   120.00000253
_cell_angle_beta   90.00000000
_cell_angle_gamma   90.00000000
_symmetry_Int_Tables_number   1
_chemical_formula_structural   Fe2Ge
_chemical_formula_sum   'Fe2 Ge1'
_cell_volume   39.43188419
_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
  Fe  Fe0  1  0.50000000  0.33333300  0.66666700  1.0
  Fe  Fe1  1  0.50000000  0.66666700  0.33333300  1.0
  Ge  Ge2  1  0.00000000  0.00000000  0.00000000  1.0
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