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</script>High‐Throughput Design of Magnetocaloric Materials for Energy Applications: MM´X alloys
AbstractMagnetic refrigeration offers an energy efficient and environmental friendly alternative to conventional vapor‐cooling. However, its adoption depends on materials with tailored magnetic and structural properties. Here a high‐throughput computational workflow for the design of magnetocaloric materials is introduced. Density functional theory calculations are used to screen potential candidates in the family of MM'X (M/M’ = metal, X = main group element) compounds. Out of 274 stable compositions, 46 magnetic compounds are found to stabilize in both an austenite and martensite phase. Following the concept of Curie temperature window, nine compounds are identified as potential candidates with structural transitions, by evaluating and comparing the structural phase transition and magnetic ordering temperatures. Additionally, the use of doping to tailor magnetostructural coupling for both known and newly predicted MM'X compounds is predicted and isostructural substitution as a general approach to engineer magnetocaloric materials is suggested.
- Czech Academy of Sciences Czech Republic
- Ludwig-Maximilians-Universität München Germany
- Institute of Physics Czech Republic
- Institute of Materials Science Viet Nam
- Institute of Physics Czech Republic
ab-initio, energy materials, formation energy, magnetocaloric effect, ab initio calculations, Science, Q, DFT material science, magnetic refrigeration, high‐throughput screening, magnetocaloric, high-throughput, Research Articles
ab-initio, energy materials, formation energy, magnetocaloric effect, ab initio calculations, Science, Q, DFT material science, magnetic refrigeration, high‐throughput screening, magnetocaloric, high-throughput, Research Articles
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).15 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
