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PuCo2

Traditional Materials TRA

MP-ID: mp-863 · Space group: Fd-3m (#227)

Basic Information

Formula
PuCo2
MP-ID
mp-863
Elements
2
Sites
6
Density
13.2930
g/cm³
Volume
90.41
ų
Cell a
5.0378
Å
Cell b
5.0378
Å
Cell c
5.0378
Å
α Angle
60.00
°
β Angle
60.00
°
γ Angle
60.00
°
Space Group
Fd-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 11)
2θd (Å)Ihkl
21.60 4.1133 35.9 (1,1,1)
35.64 2.5189 83.3 (2,1,1)
42.06 2.1481 100.0 (2,2,1)
44.03 2.0567 8.5 (2,2,2)
51.29 1.7811 3.7 (2,2,0)
56.28 1.6345 9.7 (3,2,2)
64.02 1.4543 31.8 (3,3,2)
68.42 1.3711 31.4 (3,3,3)
75.48 1.2595 21.7 (4,2,2)
79.61 1.2043 7.8 (4,3,2)
86.37 1.1265 14.6 (4,3,1)
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Energy Properties

Formation Energy/atom
-0.09971
eV/atom
Energy/atom
-37.70798
eV/atom
Energy above Hull
0.0000
eV/atom
Uncorrected Energy
-37.7080
eV/atom
Volume/atom
15.07
ų
c/a Ratio
-

Electronic Properties

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

Magnetic Properties

Magnetic
Yes
Total Mag. Moment
6.0370
μB
Mag. Ordering
Unknown
Mag. Sites
0
Magnetization/Volume
0.066780
μB/ų

Elastic Properties

Elastic data not available

Feature Analysis

Composition Overview

Element Composition (atomic fraction)
Composition Info
Major / Matrix Element
Co · 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
0.788
Family
Co-based Alloy
Matrix Element
Co · 0.667

Related Tasks

Citation & References

Materials Project Page
https://materialsproject.org/materials/mp-863
Reference Citation

The crystal structure and related material properties of PuCo2 were obtained from the Materials Project database (MP-ID: mp-863, 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_PuCo2
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   5.03778325
_cell_length_b   5.03778325
_cell_length_c   5.03778325
_cell_angle_alpha   60.00000000
_cell_angle_beta   60.00000000
_cell_angle_gamma   60.00000000
_symmetry_Int_Tables_number   1
_chemical_formula_structural   PuCo2
_chemical_formula_sum   'Pu2 Co4'
_cell_volume   90.40728705
_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
  Pu  Pu0  1  0.50000000  0.50000000  0.50000000  1.0
  Pu  Pu1  1  0.75000000  0.75000000  0.75000000  1.0
  Co  Co2  1  0.12500000  0.12500000  0.12500000  1.0
  Co  Co3  1  0.62500000  0.12500000  0.12500000  1.0
  Co  Co4  1  0.12500000  0.62500000  0.12500000  1.0
  Co  Co5  1  0.12500000  0.12500000  0.62500000  1.0
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