Monte Carlo simulations on lattices up to 48 cubed produce estimates of critical exponents for the 3D dipolar universality class, confirm a continuous phase transition, and show restoration of rotation invariance.
Eliminating leading and subleading corrections to scaling in the three-dimensional XY universality class
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A machine-learning method constructs improved lattice operators for 2D critical systems that better overlap with continuum CFT primaries and yield more accurate scaling dimensions than standard choices.
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A Monte Carlo Study of the Dipolar Universality Class in Three Dimensions
Monte Carlo simulations on lattices up to 48 cubed produce estimates of critical exponents for the 3D dipolar universality class, confirm a continuous phase transition, and show restoration of rotation invariance.
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Improving CFT Operators Using Machine Learning
A machine-learning method constructs improved lattice operators for 2D critical systems that better overlap with continuum CFT primaries and yield more accurate scaling dimensions than standard choices.
- Conformal Data for the $O(2)$ Wilson-Fisher CFT in $(2+1)$-Dimensional Spacetime from Exact Diagonalization and Matrix Product States on the Fuzzy Sphere