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arXiv 2005.09345cond-mat.str-el
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三角格子上阻挫$t-t^\prime$哈伯德模型中的磁相和自旋液相

Magnetic and spin-liquid phases in the frustrated $t-t^\prime$ Hubbard model on the triangular lattice

Luca F. Tocchio, Arianna Montorsi, Federico Becca

摘要:

哈伯德模型和它的强耦合版本海森伯模型已经在三角晶格上得到了广泛的研究,以捕捉不同材料的基本低温特性。一个例子是过渡金属二硫属化物,如1 T $-$ TaS $_2$,其中具有$13$ Ta原子的大单位晶胞形成具有各向同性三角晶格的弱耦合层。通过使用精确的变分Monte Carlo计算,我们报告的$t-t^\prime$哈伯德模型的三角形晶格的相图,突出的$t^\prime/t$的正值和负值之间的差异,这一结果可以被捕获,只有包括电荷的波动,总是存在一个有限的电子-电子排斥。检测到两个自旋液体区域:一个用于$t^\prime/t<0$,其持续到电子-电子排斥的中间值,和一个较窄的用于$t^\prime/t>0$。自旋液相似乎是无隙的,虽然变分波函数具有与海森伯极限相反的非线性特征。我们没有发现任何证据的非磁性莫特阶段的金属-绝缘体过渡附近,在与预测(主要是基于强耦合展开$t/U$),这表明存在一个弱莫特阶段,侵入金属和磁有序绝缘体之间的差异。

英文摘要:

The Hubbard model and its strong-coupling version, the Heisenberg one, have been widely studied on the triangular lattice to capture the essential low-temperature properties of different materials. One example is given by transition metal dichalcogenides, as 1T$-$TaS$_2$, where a large unit cell with $13$ Ta atom forms weakly-coupled layers with an isotropic triangular lattice. By using accurate variational Monte Carlo calculations, we report the phase diagram of the $t-t^\prime$ Hubbard model on the triangular lattice, highlighting the differences between positive and negative values of $t^\prime/t$; this result can be captured only by including the charge fluctuations that are always present for a finite electron-electron repulsion. Two spin-liquid regions are detected: one for $t^\prime/t<0$, which persists down to intermediate values of the electron-electron repulsion, and a narrower one for $t^\prime/t>0$. The spin-liquid phase appears to be gapless, though the variational wave function has a nematic character, in contrast to the Heisenberg limit. We do not find any evidence for non-magnetic Mott phases in the proximity of the metal-insulator transition, at variance with the predictions (mainly based upon strong-coupling expansions in $t/U$) that suggest the existence of a weak-Mott phase that intrudes between the metal and the magnetically ordered insulator.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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