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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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
ALMA observations detect CH3CN, C2H5CN, C2H3CN, NH2CN, NH2CHO and vibrationally excited HC3N in S255IR NIRS3; LTE-derived abundances match warm-up chemical model predictions within factors of ~0.7-1.3.
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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Digging into the Massive Protostar S255IR NIRS3: A Study of Nitrogen-Bearing Molecules and Their Prebiotic Chemistry
ALMA observations detect CH3CN, C2H5CN, C2H3CN, NH2CN, NH2CHO and vibrationally excited HC3N in S255IR NIRS3; LTE-derived abundances match warm-up chemical model predictions within factors of ~0.7-1.3.
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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.