Computationally accelerated discovery of functional and structural Heusler materials

Jiangang He*, Karin M. Rabe, Chris Wolverton

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations


Heusler compounds are a large family of intermetallic materials with a variety of exciting physical properties and many appealing applications, such as spintronics, spin torque, superconductors, thermoelectrics, shape-memory behavior, and strengthening precipitates. The giant chemical space and structural variety of Heusler-phase compositions, however, presents a barrier to the rapid experimental exploration of new Heusler compounds and properties. With the aid of high-throughput computational materials discovery developed in recent years, many new Heusler compounds with desired properties have now been discovered or predicted. In this article, we describe the crystal and electronic structures of Heusler and its derivatives, the state-of-the-art computational methods for new materials discovery, and the primary properties of Heusler compounds that have been computationally predicted. We focus on recent achievements of computational materials discoveries on full Heusler, half Heusler, inverse Heusler, and quaternary Heusler compounds, with promising applications in thermoelectrics, piezoelectric, spintronics, optoelectronics, and precipitate hardening. Finally, we conclude with prospects for accelerated Heusler materials discovery based on data-driven methods and the challenges faced in computing synthesizability and predicting properties of Heusler compounds. Graphical abstract: [Figure not available: see fulltext.]

Original languageEnglish (US)
JournalMRS Bulletin
StatePublished - Jun 2022

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Physical and Theoretical Chemistry


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