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Neural network flows of low q-state Potts and clock models

Neural network flows of low q-state Potts and clock models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2656249553

Neural network flows of low q-state Potts and clock models

About this item

Full title

Neural network flows of low q-state Potts and clock models

Publisher

Bristol: IOP Publishing

Journal title

New journal of physics, 2022-04, Vol.24 (4), p.43040

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

It is known that a trained restricted Boltzmann machine (RBM) on the binary Monte Carlo Ising spin configurations, generates a series of iterative reconstructed spin configurations which spontaneously flow and stabilize to the critical point of physical system. Here we construct a variety of neural network (NN) flows using the RBM and (variational)...

Alternative Titles

Full title

Neural network flows of low q-state Potts and clock models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2656249553

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2656249553

Other Identifiers

ISSN

1367-2630

E-ISSN

1367-2630

DOI

10.1088/1367-2630/ac63da

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