A symmetry-aware echo state network trained on small-system charge-density-wave dynamics reproduces coarsening statistics on larger lattices and yields a growth exponent α≈0.375.
Sherstinsky, Fundamentals of recurrent neural net- work (rnn) and long short-term memory (lstm) network, Physica D: Nonlinear Phenomena 404, 132306 (2020)
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Echo State network for coarsening dynamics of charge density waves
A symmetry-aware echo state network trained on small-system charge-density-wave dynamics reproduces coarsening statistics on larger lattices and yields a growth exponent α≈0.375.