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Generative Nested Sampling of Atomistic Thermodynamic Landscapes

Coretti, Alessandro et al.
arXiv (All) · Papers
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computational-physicsmachine-learningstatistical-mechanics
Nested sampling (NS) resolves the thermodynamics of an atomistic system from a single simulation, but its practical reach is limited by the Markov-chain updates needed to decorrelate walkers within each likelihood-constrained ensemble. Flow-based NS has removed this bottleneck for gravitational-wave
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