ALMA Cycle 6 data on Aquila dense cores identifies two starless sources and scale-dependent increases in multiplicity, consistent with turbulent core collapse simulations predicting 1.19 starless detections.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
The paper proposes the iSEEDs project to integrate machine learning with astrochemistry for extracting physical conditions and molecular abundances from protostellar disk datasets.
SKAO, especially SKA-Mid Band 5, is expected to overcome dust opacity and frequency limits to detect complex prebiotic molecules in high-mass and solar-type protostellar regions.
citing papers explorer
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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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Chemical Complexity in the Early Stages of Star Formation in the SKAO Era
SKAO, especially SKA-Mid Band 5, is expected to overcome dust opacity and frequency limits to detect complex prebiotic molecules in high-mass and solar-type protostellar regions.