Accelerated discovery of new magnets in the Heusler alloy family
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Advanced computer simulations and database access enable the design of novel magnetic materials at an unprecedented speed.
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Self-citationImportance of structural deformation features in the prediction of hybrid perovskite bandgaps
Park, H., Mall, R., Ali, A., Sanvito, S., Bensmail, H., & El-Mellouhi, F. (2020) · Computational Materials Science · doi:10.1016/j.commatsci.2020.109858 · Cited by 39 · see citing works
Self-citation
- Authors
- Sanvito, S., Oses, C., Xue, J., Tiwari, A., Zic, M., Archer, T., Tozman, P., Venkatesan, M., Coey, M., & Curtarolo, S.
- Affiliations
- Duke University (US)
- Center for Materials Genomics, Duke University, Durham, NC 27708, USA.
- Trinity College Dublin (IE)
- School of Physics, AMBER and CRANN Institute, Trinity College, Dublin 2, Ireland.
- Corresponding author
- Sanvito, Stefano
- ORCID
- Venue
- Science Advances
- Published
- 2017-04-07
- Volume
- 3
- Issue
- 4
- Pages
- e1602241-e1602241
- ISSN
- 2375-2548 (ISSN-L)
- PMC
- PMC5392031
- OpenAlex
- W2606478829
- Cited by
- 287
- References
- 94
- Citations by year
- 2026: 23 · 2025: 30 · 2024: 32 · 2023: 29 · 2022: 36 · 2021: 33 · 2020: 35 · 2019: 31 · 2018: 33 · 2017: 5
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- Science Advances (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- Funders
- Science Foundation Ireland (ID0ERICI14512, SFI/12/RC/2278, ID0EVSCI14513, 14/IA/2624)
- Horizon 2020 (ID0EZ3CI14514, ROMEO (309729))
- U.S. Department of Defense (ID0EAEDI14515, N00014-13-1-0635, ID0EEODI14516, N00014-15-1-2863)
- NSF (ID0EIYDI14517, DGF1106401)
- Topics
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Heusler alloys: electronic and magnetic properties
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Magnetic Properties of Alloys
- Keywords
- Heusler alloys, magnetic materials, antiferromagnetism, computational materials discovery, high-throughput materials design
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