Magnetic Properties · foundry-ml
heusler_magnetization_v1-1
Saturation magnetisation and structural properties of 1,153 Heusler compounds for materials science discovery.
What heusler_magnetization_v1-1 is
The dataset compiles saturation magnetisation values alongside structural and electronic properties for 1,153 Heusler compounds. Compiled by Chris Borg in 2022 as the University of Alabama Heusler database, it was released through the Materials Data Facility and Foundry-ML.
It addresses the computational exploration of Heusler alloys, providing a structured benchmark to train machine learning models for the discovery of half-metallic and magnetocaloric materials.
How it was made
The dataset is structured as tabular records containing both compositional and computed physical parameters. Each material record includes the chemical formula, Heusler structure class, structure type, number of electrons, lattice constant in angstroms, and tetragonality ratio (c/a).
Electronic and magnetic descriptors include the formation energy in electronvolts per atom, spin polarisation at the Fermi level given as a percentage, and magnetic moment in Bohr magnetons. The primary target metric is saturation magnetisation, reported in emu/cc.
Key facts
- Record count
- 1,153 compounds
- Format
- Tabular (Parquet)
- Target variable
- Saturation magnetisation (mu_b saturation in emu/cc)
- Input features
- Formula, Heusler type, electron count, structure type, lattice constant, tetragonality, formation energy, Fermi polarisation, magnetic moment
- Publication year
- 2022
- Task categories
- Tabular regression, tabular classification
What you can use it for
- Saturation magnetisation prediction
- Training tabular regression models to predict saturation magnetisation directly from composition, lattice constants, and electronic features.
- Half-metallic material screening
- Filtering and classifying candidates displaying high spin polarisation at the Fermi level and specific magnetic moments for spintronic investigations.
- Magnetocaloric alloy exploration
- Evaluating Heusler compound compositions and magnetic characteristics to identify promising candidates for magnetocaloric applications.
Explore the data
The schema, real rows, full-text search and a SQL filter — read in your browser, nothing downloaded.
Explore
Read the real rows without downloading anything
Reading rows…
LiveRead from foundry-ml/heusler_magnetization_v1-1 at the moment you asked. Nothing is cached or stored — every row above came from that request.
How the columns are distributed
Over 1,153 rows of default/train
e_form
float- min
- -1.11
- median
- -0.12
- mean
- -0.12
- max
- 1.05
6.2% empty
formula
string_text- min
- 4
- median
- 6
- mean
- 6.29
- max
- 7
heusler type
string_label- Full Heusler50%
- Half Heusler39%
- Inverse Heusler11%
latt const
float- min
- -3.90
- median
- 5.74
- mean
- 5.38
- max
- 6.56
mu_b
float- min
- 0
- median
- 1.03
- mean
- 1.76
- max
- 8.16
mu_b saturation
float- min
- 0
- median
- 229.56
- mean
- 339.53
- max
- 1400.83
6.2% empty
num_electron
int- min
- 13
- median
- 23
- mean
- 23.07
- max
- 39
pol fermi
float- min
- 0
- median
- 44.83
- mean
- 45.61
- max
- 100
6.2% empty
struct type
string_label- C1b32%
- L2129%
- D02220%
tetragonality
float- min
- -0.54
- median
- 1
- mean
- 1.03
- max
- 7.09
Strengths and limits
Good at
- Combines crystallographic metrics, electronic structure properties, and magnetic measurements within a single tabular schema.
- Focuses specifically on Heusler compounds to provide relevant domain-specific data for magnetic alloy modelling.
Watch out for
- The dataset is limited in size to 1,153 entries.
- Data is provided only in a single training split, requiring researchers to define their own validation and testing splits.
Questions
Can I look inside heusler_magnetization_v1-1 without downloading it?
Yes. This page reads its schema, real rows and per-column statistics in the browser, with full-text search and a SQL filter. Nothing is downloaded to your machine.
What licence is heusler_magnetization_v1-1 under?
Its authors declare cc-by-4.0. Read the terms on the original page before reusing the data.
What is the primary target property in this dataset?
The target property is saturation magnetisation (mu_b saturation), measured in emu/cc.
What physical features are provided as inputs?
Input fields comprise the material composition formula, Heusler structure type, number of electrons, structure type, lattice constant (Angstroms), tetragonality factor (c/a), formation energy (eV/atom), Fermi-level polarisation (percentage), and magnetic moment (Bohr magneton).
How large is the dataset?
The dataset contains 1,153 distinct Heusler compounds.
How to cite it
Borg, Chris. University of Alabama Heusler database. Materials Data Facility, 2022. DOI: 10.18126/un63-ohqv.
Written from heusler_magnetization_v1-1's own dataset card. Statements citing a figure that does not appear there are removed before publication. Licence and running details come from our registry.