Shaohan Li

2 ta ish

Southeast University

1. High-throughput study and machine learning on MAX and MAB phases: new materials and fingerprints of superior lattice thermal conductivities

   Shaohan Li, Zening Yang, Rasoul Khaledialidusti +7

   MaqolaOAOchiq kirish20233 iqtibos

   ABIABI:AkademIndex/2026.other.142620

2. <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mi>M</mml:mi><mml:mrow><mml:mi>n</mml:mi><mml:mo>+</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi>A</mml:mi><mml:msub><mml:mi>X</mml:mi><mml:mi>n</mml:mi></mml:msub></mml:mrow></mml:math>phases in the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi mathvariant="normal">Ti</mml:mi><mml:mtext>−</mml:mtext><mml:mi mathvariant="normal">Si</mml:mi><mml:mtext>−</mml:mtext><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math>system studied by thin-film synthesis and<i>ab initio</i>calculations

   J.-P. Palmquist, Shaohan Li, Per O. Å. Persson +9

   MaqolaOAOchiq kirish20042 iqtibos

   ABIABI:AkademIndex/2026.other.142202