PINN-based joint reconstruction of H(z) and fσ8(z) coupled through the GR growth equation recovers the input H0 prior exactly, yields fσ8(z) below ΛCDM at all redshifts, and shows Om(z) departure from flat ΛCDM at low z.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Review of fuzzy dark matter simulation techniques including governing equations, wave- and fluid-based algorithms, test problems, and public initial condition files for code benchmarking.
A review assessing PINN advances for forward modeling, inverse design, and equation discovery across multi-physics domains.
citing papers explorer
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Joint reconstruction of $H(z)$ and $f\sigma_8(z)$ with physics informed neural networks
PINN-based joint reconstruction of H(z) and fσ8(z) coupled through the GR growth equation recovers the input H0 prior exactly, yields fσ8(z) below ΛCDM at all redshifts, and shows Om(z) departure from flat ΛCDM at low z.
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Fuzzy dark matter simulations
Review of fuzzy dark matter simulation techniques including governing equations, wave- and fluid-based algorithms, test problems, and public initial condition files for code benchmarking.
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Beyond Data-Driven: How Physics-Informed Neural Networks are Reshaping Multi-Physics Design and Discovery
A review assessing PINN advances for forward modeling, inverse design, and equation discovery across multi-physics domains.