Machine Learning Assisted Insight to Spin Ice Dy$_2$Ti$_2$O$_7$

Understand

Complex behavior poses challenges in extracting models from experiment.

• An example is spin liquid formation in frustrated magnets like Dy$_2$Ti$_2$O$_7$.
• Understanding has been hindered by issues including disorder, glass formation, and interpretation of scattering data.
• Here, we use a novel automated capability to extract model Hamiltonians from data, and to identify different magnetic regimes.