Machine-learning-guided understanding of defect accommodation in spin-gapless semiconductor Mn 2 CoAl
Source abstract
Abstract
A multiscale framework linking defect chemistry, off-stoichiometry, lattice evolution, and elastic behavior in Mn 2 CoAl identifies composition-specific defect engineering as a route to tailoring spin-gapless semiconductor systems.
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Heusler alloys: electronic and magnetic properties · Machine Learning in Materials Science · 2D Materials and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials Science and Engineering, Iowa State University, Ames, IA 50011, USA
Department of Mechanical, Materials, and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA
Department of Mechanical, Materials, and Industrial Engineering, University of Cincinnati, Cincinnati, OH, 45221, USA
Funding
Division of Materials Research
References (39)
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