A hierarchical generative model for critical lattice scalar field theories achieves orders-of-magnitude lower autocorrelation times than HMC while enabling exact multilevel Monte Carlo.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
method 1polarities
use method 1representative citing papers
Lattice simulations of knotted AB copolymer rings reveal temperature-driven nonmonotonic conformational transitions and knot delocalization/localization shifts that depend on topology and block asymmetry.
citing papers explorer
-
Scalable Generative Sampling and Multilevel Estimation for Lattice Field Theories Near Criticality
A hierarchical generative model for critical lattice scalar field theories achieves orders-of-magnitude lower autocorrelation times than HMC while enabling exact multilevel Monte Carlo.
-
On the thermal properties of knotted block copolymer rings
Lattice simulations of knotted AB copolymer rings reveal temperature-driven nonmonotonic conformational transitions and knot delocalization/localization shifts that depend on topology and block asymmetry.