Daan Verraes

collaborators

3 papers

cond-mat.str-el2026

Combining matrix product states and mean-field theory to capture magnetic order in quasi-1D cuprates

Quentin Staelens, Daan Verraes, Daan Vrancken +3

We study quasi-one-dimensional strongly correlated materials using a multi-step approach based on density functional theory, downfolding techniques, and tensor-network simulations.…

cond-mat.supr-con2026

First-Principles Evidence for Strongly Correlated Superconductivity Driven by Structural Variations in La $_{3}$ Ni $_{2}$ O $_{7}$

Daan Verraes, Tom Braeckevelt, Nick Bultinck +1

We conduct first-principles simulations of La $_{3}$ Ni $_{2}$ O $_{7}$ , a nickelate in which recent experiments have shown signs of high-temperature superconductivity. Within the hydrostatic…

cond-mat.str-el2025

Quantitative Description of Strongly Correlated Materials by Combining Downfolding Techniques and Tensor Networks

Daan Vrancken, Simon Ganne, Daan Verraes +5

We present a high-accuracy procedure for electronic structure calculations of strongly correlated materials. To address limitations in current electronic structure methods, we empl…

Combining matrix product states and mean-field theory to capture magnetic order in quasi-1D cuprates

First-Principles Evidence for Strongly Correlated Superconductivity Driven by Structural Variations in La3​Ni2​O7​

Quantitative Description of Strongly Correlated Materials by Combining Downfolding Techniques and Tensor Networks

First-Principles Evidence for Strongly Correlated Superconductivity Driven by Structural Variations in La $_{3}$ Ni $_{2}$ O $_{7}$