2022
DOI: 10.1103/physreve.105.045311
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Dynamical tuning of the chemical potential to achieve a target particle number in grand canonical Monte Carlo simulations

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Cited by 10 publications
(4 citation statements)
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“…these materials [9,10,30]. We adjust the chemical potential to obtain an average filling of n = 1 hole/Bi using a recently developed µ-tuning algorithm [38]. Fig.…”
Section: Model and Methodsmentioning
confidence: 99%
“…these materials [9,10,30]. We adjust the chemical potential to obtain an average filling of n = 1 hole/Bi using a recently developed µ-tuning algorithm [38]. Fig.…”
Section: Model and Methodsmentioning
confidence: 99%
“…This automation is achieved using the algorithm described in Ref. [137] and has been implemented as a stand-alone package MuTuner.jl [138] that SmoQyDQMC.jl uses to incorporate this functionality.…”
Section: Chemical Potential Tuningmentioning
confidence: 99%
“…The on-site energies are set to ϵ s = 6.23 and ϵ p = 4.14 eV unless otherwise stated, consistent with the negative charge-transfer nature of these materials 9,10,30 . We adjust the chemical potential to obtain an average filling of 〈n〉 = 1 hole/Bi using a recently developed μ-tuning algorithm 38 . Figure 1b displays the corresponding hole band structure for this model with α sp = 0.…”
Section: The Modelmentioning
confidence: 99%