Identification and Optimization of Accurate Spin Models for Open-Shell Carbon Ladders with Matrix Product States
Andoni Agirre, Thomas Frederiksen, Geza Giedke, Tobias Grass
TL;DR
The paper analyzes open-shell, non-bipartite oligo(indenoindene) carbon ladders by mapping their low-energy π-electron magnetism—computed via DMRG on the full Fermi-Hubbard model—onto an emergent set of spin-1/2 degrees of freedom. By constructing delocalized, optimized spin modes and fitting a frustrated J1–J2 Heisenberg chain, the authors achieve a compact, accurate description of the system's spectra, entanglement, and spin correlations across sizes. The work demonstrates robust, transferable effective-spin descriptions even in nontrivial topologies, clarifying how spin physics arises from correlated electrons and providing a foundation for future t–J extensions and STM-accessible dynamical probes of carbon-based spin chains. Overall, the method offers a scalable route to distill complex π-electron magnetism into a tractable spin model with predictive power for nanographene-based spin systems.
Abstract
Open-shell nanographenes offer a controlled setting to study correlated magnetism emerging from $π$-electron systems. We analyze oligo(indenoindene) molecules, non-bipartite carbon ladders whose tight-binding spectra feature a gapped, weakly dispersing manifold of quasi-zero modes, and show that their low-energy properties can be effectively mapped onto an interacting set of spin-1/2 degrees of freedom. Using Density Matrix Renormalization Group simulations of the full Fermi-Hubbard model, we obtain their excitation spectra, entanglement profiles, and spin-spin correlations. We then construct optimized delocalized fermionic modes that act as emergent spins and show that their interactions are well described by a frustrated $J_1$-$J_2$ Heisenberg chain. This effective description clarifies how spin degrees of freedom arise and interact in non-bipartite nanographene ladders, providing a compact and accurate representation of their correlated behavior.
