A new equivariant space group framework constructs magnetic Hamiltonians with explicit dependence on magnetic order orientation n, enabling analysis of dynamics-driven topological pumping and ab-initio modeling of real materials.
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Generalized ML force fields reproduce non-collinear magnetic orders on lattices and predict voltage-driven domain-wall motion in itinerant magnets using extensions to nonequilibrium torques.
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Equivariant Space Group and Hamiltonian for Collinear Magnetic Systems
A new equivariant space group framework constructs magnetic Hamiltonians with explicit dependence on magnetic order orientation n, enabling analysis of dynamics-driven topological pumping and ab-initio modeling of real materials.
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Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems
Generalized ML force fields reproduce non-collinear magnetic orders on lattices and predict voltage-driven domain-wall motion in itinerant magnets using extensions to nonequilibrium torques.