Fluorine Intercalated Graphene: Formation of a 2D Spin Lattice through Pseudoatomization

TL;DR

This study demonstrates that fluorine molecules intercalated between graphene layers can form a stable 2D spin lattice with ferromagnetic order, potentially useful for spintronic applications, with stability up to 100 K and possible room temperature stability under fixed conditions.

Contribution

The paper introduces a novel method of creating a 2D spin lattice in graphene through fluorine intercalation, revealing magnetic properties and stability conditions.

Findings

Fluorine molecules stretch and weaken, forming a pseudoatomized layer.

Intercalated fluorine induces local magnetic moments and ferromagnetic coupling.

System stable up to 100 K, with potential room temperature stability if graphene layers are fixed.

Abstract

A suspended layer made up of ferromagnetically ordered spins could be created between two mono/multilayer graphene through intercalation. Stability and electronic structure studies show that, when fluorine molecules are intercalated between two mono/multilayer graphene, their bonds get stretched enough ($\sim$ 1.9$-$2.0 {\AA}) to weaken their molecular singlet eigenstate. Geometrically, these stretched molecules form a pseudoatomized fluorine layer by maintaining a van der Waals separation of $\sim$ 2.6 {\AA} from the adjacent carbon layers. As there is a significant charge transfer from the adjacent carbon layers to the fluorine layers, a mixture of triplet and doublet states stabilize to induce local spin-moments at each fluorine sites and in turn form a suspended 2D spin lattice. The spins of this lattice align ferromagnetically with nearest neighbour coupling strength as large as $\sim$ 100 meV. Our finite temperature \textit {ab initio} molecular dynamics study reveals that the intercalated system can be stabilized up to a temperature of 100 K with an average magnetic moment of $\sim$ 0.6 $\mu_{B}$/F. However, if the graphene layers can be held fixed, the room temperature stability of such a system is feasible.