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CsS

Traditional Materials TRA

MP-ID: mp-1057486 · Space group: Pm-3m (#221)

Basic Information

Formula
CsS
MP-ID
mp-1057486
Elements
2
Sites
2
Density
3.6181
g/cm³
Volume
75.71
ų
Cell a
4.2305
Å
Cell b
4.2305
Å
Cell c
4.2305
Å
α Angle
90.00
°
β Angle
90.00
°
γ Angle
90.00
°
Space Group
Pm-3m
Point Group
m-3m
Crystal System
Cubic
Bravais Lattice
Cubic P
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 13)
2θd (Å)Ihkl
21.00 4.2305 39.9 (1,0,0)
29.87 2.9914 100.0 (1,1,0)
36.80 2.4425 13.2 (1,1,1)
42.75 2.1152 18.0 (2,0,0)
48.09 1.8919 18.8 (2,1,0)
53.02 1.7271 37.7 (2,1,1)
62.05 1.4957 11.7 (2,2,0)
66.28 1.4102 9.3 (2,2,1)
70.38 1.3378 16.2 (3,1,0)
74.37 1.2755 5.3 (3,1,1)
78.29 1.2212 4.0 (2,2,2)
82.15 1.1733 4.1 (3,2,0)
85.98 1.1306 19.5 (3,2,1)
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Energy Properties

Formation Energy/atom
-0.57486
eV/atom
Energy/atom
-17.14611
eV/atom
Energy above Hull
0.5331
eV/atom
Uncorrected Energy
-2.9160
eV/atom
Volume/atom
37.86
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
0.9999
μB
Mag. Ordering
FM
Mag. Sites
1
Magnetization/Volume
0.013210
μB/ų

Elastic Properties

Elastic data not available

Feature Analysis

Composition Overview

Element Composition (atomic fraction)
Composition Info
Major / Matrix Element
Cs · 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
0.344
Family
Binary Alloy
Matrix Element
Cs · 0.500

Related Tasks

Citation & References

Materials Project Page
https://materialsproject.org/materials/mp-1057486
Reference Citation

The crystal structure and related material properties of CsS were obtained from the Materials Project database (MP-ID: mp-1057486, 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_CsS
_symmetry_space_group_name_H-M   'P 1'
_cell_length_a   4.23048300
_cell_length_b   4.23048300
_cell_length_c   4.23048300
_cell_angle_alpha   90.00000000
_cell_angle_beta   90.00000000
_cell_angle_gamma   90.00000000
_symmetry_Int_Tables_number   1
_chemical_formula_structural   CsS
_chemical_formula_sum   'Cs1 S1'
_cell_volume   75.71289677
_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
  Cs  Cs0  1  0.00000000  0.00000000  0.00000000  1.0
  S  S1  1  0.50000000  0.50000000  0.50000000  1.0
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