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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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper presents a science case for using SKAO to probe jets, outflows, magnetic fields, dust, and chemistry in young stellar objects at scales of a few au.
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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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Jets and Outflows in Young Stellar Objects with the SKAO
The paper presents a science case for using SKAO to probe jets, outflows, magnetic fields, dust, and chemistry in young stellar objects at scales of a few au.