Learned committor proxies give accurate Ising nucleation rates via MSMs, while geometric cluster size recovers rates despite failing as a pointwise committor predictor.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Long-range algebraic correlations in random matrices induce a transition at H=3/4 in eigenvalue statistics from generalized t-distributions with fat tails to the semicircle law, identified via scaling analysis and simulations.
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Learned Committors as Reaction Coordinates for Nucleation Rates
Learned committor proxies give accurate Ising nucleation rates via MSMs, while geometric cluster size recovers rates despite failing as a pointwise committor predictor.
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Long-Range Correlated Random Matrices
Long-range algebraic correlations in random matrices induce a transition at H=3/4 in eigenvalue statistics from generalized t-distributions with fat tails to the semicircle law, identified via scaling analysis and simulations.