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Tc3Sn

Traditional Materials TRA

MP-ID: mp-1187397 · Space group: P6_3/mmc (#194)

Basic Information

Formula
Tc3Sn
MP-ID
mp-1187397
Elements
2
Sites
8
Density
10.7579
g/cm³
Volume
127.41
ų
Cell a
5.6534
Å
Cell b
5.6534
Å
Cell c
4.6031
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 15)
2θd (Å)Ihkl
26.58 3.3537 1.3 (1,0,-1,1)
36.71 2.4480 36.0 (2,0,-2,0)
39.14 2.3016 40.2 (0,0,0,2)
41.79 2.1614 100.0 (2,0,-2,1)
41.79 2.1614 50.0 (2,-2,0,1)
54.74 1.6768 15.0 (2,0,-2,2)
54.74 1.6768 7.5 (2,-2,0,2)
66.11 1.4133 8.4 (2,2,-4,0)
66.11 1.4133 16.9 (4,-2,-2,0)
72.74 1.3001 28.8 (2,0,-2,3)
78.08 1.2240 2.6 (4,0,-4,0)
78.08 1.2240 1.3 (4,-4,0,0)
79.60 1.2044 30.1 (4,-2,-2,2)
81.34 1.1829 21.4 (4,0,-4,1)
84.12 1.1508 4.4 (0,0,0,4)
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Energy Properties

Formation Energy/atom
0.22910
eV/atom
Energy/atom
-25.43094
eV/atom
Energy above Hull
0.2291
eV/atom
Uncorrected Energy
-8.5438
eV/atom
Volume/atom
15.93
ų
c/a Ratio
0.8142

Electronic Properties

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

Magnetic Properties

Magnetic
No
Total Mag. Moment
0.5784
μB
Mag. Ordering
NM
Mag. Sites
0
Magnetization/Volume
0.004540
μB/ų

Elastic Properties

Elastic data not available

Feature Analysis

Composition Overview

Element Composition (atomic fraction)
Composition Info
Major / Matrix Element
Tc · 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
0.569
Family
Binary Alloy
Matrix Element
Tc · 0.750

Related Tasks

Citation & References

Materials Project Page
https://materialsproject.org/materials/mp-1187397
Reference Citation

The crystal structure and related material properties of Tc3Sn were obtained from the Materials Project database (MP-ID: mp-1187397, 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_Tc3Sn
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   5.65335744
_cell_length_b   5.65335744
_cell_length_c   4.60313600
_cell_angle_alpha   90.00000000
_cell_angle_beta   90.00000000
_cell_angle_gamma   119.99999347
_symmetry_Int_Tables_number   1
_chemical_formula_structural   Tc3Sn
_chemical_formula_sum   'Tc6 Sn2'
_cell_volume   127.40819324
_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
  Tc  Tc0  1  0.16491900  0.32983900  0.25000000  1.0
  Tc  Tc1  1  0.67016100  0.83508100  0.25000000  1.0
  Tc  Tc2  1  0.16491900  0.83508100  0.25000000  1.0
  Tc  Tc3  1  0.83508100  0.67016100  0.75000000  1.0
  Tc  Tc4  1  0.32983900  0.16491900  0.75000000  1.0
  Tc  Tc5  1  0.83508100  0.16491900  0.75000000  1.0
  Sn  Sn6  1  0.33333300  0.66666700  0.75000000  1.0
  Sn  Sn7  1  0.66666700  0.33333300  0.25000000  1.0
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