activity
20232026
most citedCharge self-consistent density functional theory plus ghost rotationally-invariant slave-boson theory for correlated materials

5 citations · 7 across the 8 of their papers we have counts for

collaborators

8 papers

cond-mat.str-el2026

Interplay of spin-orbit coupling, crystal field splitting and correlations: a ghost rotationally invariant slave boson treatment

Xue Sun, Walber Hugo Brito, Andreas Gleis +4

We investigate the interplay of spin-orbit coupling, crystal field splittings, and electronic correlations in the Hubbard-Kanamori model within the recently formulated gho…

cond-mat.str-el2026

Magnetic phases of the anisotropic triangular Hubbard model from the ghost-Gutzwiller approximation in the rotating spin-frame

Azin Kazemi-Moridani, Samuele Giuli, Tsung-Han Lee +4

We investigate the magnetic phase diagram of the half-filled Hubbard model on the anisotropic triangular lattice using the Gutzwiller approximation (GA) and its ghost generalizatio…

cond-mat.str-el2026

Unifying Variational and Dynamical Quantum Embedding: From Ghost Gutzwiller Approximation to Dynamical Mean-Field Theory

Samuele Giuli, Tsung-Han Lee, Yong-Xin Yao +4

Dynamical and variational frameworks have long been viewed as distinct paradigms. In particular, in quantum embedding (QE) frameworks, dynamical mean-field theory (DMFT) captures n…

cond-mat.str-el2026

Accelerating dynamical mean-field theory convergence by preconditioning with computationally cheaper quantum embedding methods

E. M. Makaresz, O. Gingras, Tsung-Han Lee +3

Dynamical mean-field theory (DMFT) is a cornerstone technique for studying strongly correlated electronic systems. However, each DMFT step is computationally demanding, and many it…

cond-mat.str-el2025

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space

Samuele Giuli, Hasanat Hasan, Benedikt Kloss +5

Simulations of quantum matter rely mainly on Kohn-Sham density functional theory (DFT), which often fails for strongly correlated systems. Quantum embedding (QE) theories address t…

cond-mat.str-el2025

Neural-Quantum-States Impurity Solver for Quantum Embedding Problems

Yinzhanghao Zhou, Tsung-Han Lee, Ao Chen +2

Neural quantum states (NQS) have emerged as a promising approach to solve second-quantized Hamiltonians, because of their scalability and flexibility. In this work, we design and b…

cond-mat.str-el2024★ 5 cited

Charge self-consistent density functional theory plus ghost rotationally-invariant slave-boson theory for correlated materials

Tsung-Han Lee, Corey Melnick, Ran Adler +4

We present a charge self-consistent density functional theory combined with the ghost-rotationally-invariant slave-boson (DFT+gRISB) formalism for studying correlated materials. Th…

cond-mat.str-el2023★ 2 cited

Active Learning approach to simulations of Strongly Correlated Matter with the Ghost Gutzwiller Approximation

Marius S. Frank, Denis G. Artiukhin, Tsung-Han Lee +4

Quantum embedding (QE) methods such as the Ghost Gutzwiller Approximation (gGA) offer a powerful approach to simulating strongly-correlated systems, but come with the computational…