A promising route to realize entangled magnetic states combines geometrical frustration with quantum-tunneling effects. Spin-ice materials are canonical examples of frustration, and …
The presence of competing interactions arising from geometry leads to frustration in quantum spin models. As a consequence, the ground state of such systems often displays a …
We present a deep reinforcement learning framework where a machine agent is trained to search for a policy to generate a ground state for the square ice model by exploring the …
The fragmentation description is used to analyze calculated neutron scattering intensities from kagome ice and spin ice systems. The longitudinal, transverse, and harmonic …