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CuO

Traditional Materials TRA

MP-ID: mp-1064456 · Space group: Cccm (#66)

Basic Information

Formula
CuO
MP-ID
mp-1064456
Elements
2
Sites
4
Density
5.9750
g/cm³
Volume
44.21
ų
Cell a
2.9329
Å
Cell b
2.9329
Å
Cell c
5.1559
Å
α Angle
90.00
°
β Angle
90.00
°
γ Angle
94.49
°
Space Group
Cccm
Point Group
mmm
Crystal System
Orthorhombic
Bravais Lattice
Orthorhombic C
Stability
No
Packing Fraction
0.5240

X-ray Diffraction

Diffraction Pattern
X-axis: 2θ (°); Y-axis: relative intensity; CuKa ; λ=1.5406 Å
Diffraction Peaks (Top 15)
2θd (Å)Ihkl
30.58 2.9239 4.6 (1,0,0)
34.80 2.5780 15.0 (0,0,2)
35.29 2.5434 100.0 (1,0,1)
41.95 2.1536 9.0 (1,-1,0)
45.56 1.9910 7.2 (1,1,0)
46.99 1.9337 2.1 (1,0,2)
55.61 1.6528 18.2 (1,-1,2)
58.58 1.5758 15.2 (1,1,2)
62.71 1.4816 16.8 (1,0,3)
63.65 1.4619 11.4 (2,0,0)
72.32 1.3065 10.6 (2,-1,1)
73.47 1.2890 3.5 (0,0,4)
74.63 1.2717 6.4 (2,0,2)
77.49 1.2317 8.6 (2,1,1)
88.38 1.1060 2.1 (1,-1,4)
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Energy Properties

Formation Energy/atom
-0.94171
eV/atom
Energy/atom
-5.46530
eV/atom
Energy above Hull
0.0011
eV/atom
Uncorrected Energy
-5.1218
eV/atom
Volume/atom
11.05
ų
c/a Ratio
-

Electronic Properties

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

Magnetic Properties

Magnetic
No
Total Mag. Moment
0.0012
μB
Mag. Ordering
NM
Mag. Sites
0
Magnetization/Volume
0.000030
μB/ų

Elastic Properties

Elastic data not available

Feature Analysis

Composition Overview

Element Composition (atomic fraction)
Composition Info
Major / Matrix Element
Cu · 0.500
Element Family
N/A
Solute Fraction
0.500
Interstitial Fraction
0.000

Traditional Material Features

ROM Blended-Feature Radar
Rating & Classification
Tier
A
Score
0.708
Family
Cu-based Alloy
Matrix Element
Cu · 0.500

Related Tasks

Citation & References

Materials Project Page
https://materialsproject.org/materials/mp-1064456
Reference Citation

The crystal structure and related material properties of CuO were obtained from the Materials Project database (MP-ID: mp-1064456, 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_CuO
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   2.93287081
_cell_length_b   2.93287081
_cell_length_c   5.15592800
_cell_angle_alpha   90.00000000
_cell_angle_beta   90.00000000
_cell_angle_gamma   94.49291742
_symmetry_Int_Tables_number   1
_chemical_formula_structural   CuO
_chemical_formula_sum   'Cu2 O2'
_cell_volume   44.21362047
_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
  Cu  Cu0  1  0.00000000  0.50000000  0.50000000  1.0
  Cu  Cu1  1  0.50000000  0.00000000  0.00000000  1.0
  O  O2  1  0.50000000  0.50000000  0.75000000  1.0
  O  O3  1  0.50000000  0.50000000  0.25000000  1.0
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