A phenomenological nonequilibrium freeze-out model with Lagrange parameters accounts for both the universal heavy r-process abundance pattern in stars and its observed variations.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Convolutional neural networks classify 12C+12C TPC events at 90-97% accuracy and reconstruct vertices.
citing papers explorer
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Universality and variability of the heavy r-process element abundance pattern from a nonequilibrium approach
A phenomenological nonequilibrium freeze-out model with Lagrange parameters accounts for both the universal heavy r-process abundance pattern in stars and its observed variations.
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Machine Learning methods for event classification and vertex reconstruction of the 12C + 12C reaction with the MATE-TPC
Convolutional neural networks classify 12C+12C TPC events at 90-97% accuracy and reconstruct vertices.