collaborators

1 paper

cond-mat.str-el2026

Data-Driven Bath Fitting for Hamiltonian-Diagonalization Dynamical Mean-Field Theory

Taeung Kim, Jeongmoo Lee, Ara Go

We propose a machine-learning-based initialization method to overcome the nonlinear bath-fitting bottleneck in Hamiltonian-diagonalization-based dynamical mean-field theory (HD-DMF…