AL-ATCI uses active learning to identify the relevant determinant manifold in configuration-interaction impurity solvers, achieving weak scaling with bath size and reproducing exact-diagonalization accuracy for Hubbard model clusters up to size 10 and Sr2RuO4 impurities.
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ARPES and XMCD data show Ti bands dominate the electronic structure of these kagome metals, with a small Ti magnetic moment induced in GdTi3Bi4 by proximity to Gd zigzag chains.
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A Scalable Configuration-Interaction Impurity Solver via Active Learning
AL-ATCI uses active learning to identify the relevant determinant manifold in configuration-interaction impurity solvers, achieving weak scaling with bath size and reproducing exact-diagonalization accuracy for Hubbard model clusters up to size 10 and Sr2RuO4 impurities.
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Revealing magnetism in the distorted kagome $R$Ti$_3$Bi$_4$ ($R$ = Nd, Sm, Gd) via ARPES and XMCD
ARPES and XMCD data show Ti bands dominate the electronic structure of these kagome metals, with a small Ti magnetic moment induced in GdTi3Bi4 by proximity to Gd zigzag chains.