Claims a network-model derivation gives a lower error bound for Monte Carlo simulations of infinite systems, illustrated with the 2D Ising model and a battery molecular dynamics example.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.comp-ph 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Precision Evaluation Criteria for Simulation Algorithms in Infinite Systems: A Network Model-Based Approach
Claims a network-model derivation gives a lower error bound for Monte Carlo simulations of infinite systems, illustrated with the 2D Ising model and a battery molecular dynamics example.