Coarsening of chiral domains in itinerant electron magnets: A machine learning force field approach

arXiv:2403.11705v1 Announce Type: cross
Abstract: Frustrated itinerant magnets often exhibit complex noncollinear or noncoplanar magnetic orders which support topological electronic structures. A canonical example is the anomalous quantum Hall state with a chiral spin order stabilized by electron-spin interactions on a triangular lattice. While a long-range magnetic order cannot survive thermal fluctuations in two dimensions, the chiral order which results from the breaking of a discrete Ising symmetry persists even at finite temperatures. We present a scalable machine learning (ML) …

abstract arxiv canonical cond-mat.str-el cs.lg domains electron electronic example interactions lattice machine machine learning magnets orders quantum spin state support type