Monte Carlo simulation in statistical physics: an introduction
By Kurt Binder, D. Heermann. 2002
682 citations recorded by the source corpus.
Subfields: Condensed Matter Physics, Physical and Theoretical Chemistry
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In Condensed Matter Physics
In Physical and Theoretical Chemistry
Citations in the corpus
- Mean Field Multi-Agent Reinforcement Learning (2018, methodology): “To validate the correctness of the MFQ learning, we implement MCMC methods (Binder et al., 1993) to simulate the same Ising model and provide the ground truth for comparison.”
- Measurement-induced entanglement phase transition on a superconducting quantum processor with mid-circuit readout (2022, positive): “Assuming correlation length ξ ∼ |p− p∗|−ν and entanglement entropy 〈Sα〉 ∼ |p− p∗| , we take the finite-size scaling ansatz [45, 46] to be”
- Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering (2004, methodology): “Potts model is a generalization of the Ising model where instead of having spins with values ± 1 / 2, there are q different states per particle (Binder & Heermann, 1988).”