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TaIr3

Traditional Materials TRA

MP-ID: mp-1187241 · Space group: P6_3/mmc (#194)

Basic Information

Formula
TaIr3
MP-ID
mp-1187241
Elements
2
Sites
8
Density
21.1304
g/cm³
Volume
119.07
ų
Cell a
5.5521
Å
Cell b
5.5521
Å
Cell c
4.4603
Å
α Angle
90.00
°
β Angle
90.00
°
γ Angle
120.00
°
Space Group
P6_3/mmc
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
37.41 2.4041 24.0 (2,0,-2,0)
40.45 2.2301 25.9 (0,0,0,2)
42.73 2.1163 100.0 (2,0,-2,1)
56.26 1.6350 15.0 (2,0,-2,2)
67.48 1.3880 17.4 (4,-2,-2,0)
75.13 1.2645 19.3 (2,0,-2,3)
79.78 1.2021 2.7 (4,0,-4,0)
81.72 1.1784 20.8 (4,-2,-2,2)
83.24 1.1607 14.9 (4,0,-4,1)
87.48 1.1151 3.0 (0,0,0,4)
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Energy Properties

Formation Energy/atom
-0.74139
eV/atom
Energy/atom
-52.15886
eV/atom
Energy above Hull
0.0163
eV/atom
Uncorrected Energy
-52.1589
eV/atom
Volume/atom
14.88
ų
c/a Ratio
0.8033

Electronic Properties

Metallic
Metal
Band Gap
0
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

Elastic data not available

Feature Analysis

Composition Overview

Element Composition (atomic fraction)
Composition Info
Major / Matrix Element
Ir · 0.750
Element Family
N/A
Solute Fraction
0.250
Interstitial Fraction
0.000

Traditional Material Features

ROM Blended-Feature Radar
Rating & Classification
Tier
A
Score
0.711
Family
Binary Alloy
Matrix Element
Ir · 0.750

Related Tasks

Citation & References

Materials Project Page
https://materialsproject.org/materials/mp-1187241
Reference Citation

The crystal structure and related material properties of TaIr3 were obtained from the Materials Project database (MP-ID: mp-1187241, 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_TaIr3
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   5.55212247
_cell_length_b   5.55212247
_cell_length_c   4.46028531
_cell_angle_alpha   90.00000000
_cell_angle_beta   90.00000000
_cell_angle_gamma   120.00000061
_symmetry_Int_Tables_number   1
_chemical_formula_structural   TaIr3
_chemical_formula_sum   'Ta2 Ir6'
_cell_volume   119.07246487
_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
  Ta  Ta0  1  0.33333300  0.66666700  0.75000000  1.0
  Ta  Ta1  1  0.66666700  0.33333300  0.25000000  1.0
  Ir  Ir2  1  0.16411129  0.32822357  0.25000000  1.0
  Ir  Ir3  1  0.67177643  0.83588871  0.25000000  1.0
  Ir  Ir4  1  0.16411129  0.83588871  0.25000000  1.0
  Ir  Ir5  1  0.83588871  0.67177643  0.75000000  1.0
  Ir  Ir6  1  0.32822357  0.16411129  0.75000000  1.0
  Ir  Ir7  1  0.83588871  0.16411129  0.75000000  1.0
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