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article · Journal of Alloys and Compounds

Machine learning prediction of two metal-insulator transitions in the resistivity of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0009.svg"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi mathvariant="bold-italic">La</mml:mi> </mml:mrow> <mml:mrow> <mml:mn mathvariant="bold-italic">0.67</mml:mn> </mml:mrow> </mml:msub> <mml:msub> <mml:mrow> <mml:mi mathvariant="bold-italic">Ca</mml:mi> </mml:mrow> <mml:mrow> <mml:mn mathvariant="bold-italic">0.33</mml:mn> <mml:mo>−</mml:mo> <mml:mi mathvariant="bold-italic">x</mml:mi> </mml:mrow> </mml:msub> <mml:msub> <mml:mrow> <mml:mi mathvariant="bold-italic">Sr</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="bold-italic">x</mml:mi> </mml:mrow> </mml:msub> <mml:msub> <mml:mrow> <mml:mi mathvariant="bold-italic">Mn</mml:mi> </mml:mrow> <mml:mrow> <mml:mn mathvariant="bold-italic">0.98</mml:mn> </mml:mrow> </mml:msub> <mml:msub> <mml:mrow> <mml:mi mathvariant="bold-italic">Ni</mml:mi> </mml:mrow> <mml:mrow> <mml:mn mathvariant="bold-italic">0.02</mml:mn> </mml:mrow> </mml:msub> <mml:msub> <mml:mrow> <mml:mi mathvariant="bold-italic">O</mml:mi> </mml:mrow> <mml:mrow> <mml:mn mathvariant="bold-italic">3</mml:mn> </mml:mrow> </mml:msub> <mml:mspace width="1em"/> </mml:mrow> </mml:math> compounds: Effects of temperature and Sr substitution level

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Research topics

  • Magnetic and transport properties of perovskites and related materials
  • Advanced Condensed Matter Physics
  • Electronic and Structural Properties of Oxides

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DOI: 10.1016/j.jallcom.2025.181922

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