The paper proposes the iSEEDs project to integrate machine learning with astrochemistry for extracting physical conditions and molecular abundances from protostellar disk datasets.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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UCLCHEM 4.0 is an updated open-source framework that solves time-dependent gas-grain chemical networks with built-in parametrizations for cloud collapse, cores, and shocks.
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Astrochemical Study of Early Embedded Disks
The paper proposes the iSEEDs project to integrate machine learning with astrochemistry for extracting physical conditions and molecular abundances from protostellar disk datasets.
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UCLCHEM 4.0: An open source gas-grain astrochemistry simulation framework
UCLCHEM 4.0 is an updated open-source framework that solves time-dependent gas-grain chemical networks with built-in parametrizations for cloud collapse, cores, and shocks.