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[1]
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The correlation between the covalent bonds and magnetocaloric properties of the Mn2−xFexPyGe1−yMz compounds
Journal of Applied Physics,
2021
DOI:10.1063/5.0056190
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[2]
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Machine learning assisted development of Fe2P-type magnetocaloric compounds for cryogenic applications
Acta Materialia,
2022
DOI:10.1016/j.actamat.2022.117942
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[3]
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Impact of F and S doping on (Mn,Fe)2(P,Si) giant magnetocaloric materials
Acta Materialia,
2022
DOI:10.1016/j.actamat.2022.118057
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[4]
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Impact of W doping on Fe-rich (Mn,Fe)2(P,Si) based giant magnetocaloric materials
Journal of Alloys and Compounds,
2023
DOI:10.1016/j.jallcom.2022.167802
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[5]
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The correlation between the covalent bonds and magnetocaloric properties of the Mn2−xFexPyGe1−yMz compounds
Journal of Applied Physics,
2021
DOI:10.1063/5.0056190
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[6]
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Machine learning assisted development of Fe2P-type magnetocaloric compounds for cryogenic applications
Acta Materialia,
2022
DOI:10.1016/j.actamat.2022.117942
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[7]
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Effect of off-stoichiometry and Ta doping on Fe-rich (Mn,Fe)2(P,Si) based giant magnetocaloric materials
Scripta Materialia,
2023
DOI:10.1016/j.scriptamat.2022.115253
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[8]
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Machine learning assisted development of Fe2P-type magnetocaloric compounds for cryogenic applications
Acta Materialia,
2022
DOI:10.1016/j.actamat.2022.117942
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[9]
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The correlation between the covalent bonds and magnetocaloric properties of the Mn2−xFexPyGe1−yMz compounds
Journal of Applied Physics,
2021
DOI:10.1063/5.0056190
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[10]
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Effect of off-stoichiometry and Ta doping on Fe-rich (Mn,Fe)2(P,Si) based giant magnetocaloric materials
Scripta Materialia,
2023
DOI:10.1016/j.scriptamat.2022.115253
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[11]
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Advanced Magnetocaloric Materials for Energy Conversion: Recent Progress, Opportunities, and Perspective
Advanced Energy Materials,
2024
DOI:10.1002/aenm.202400369
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