Deep learning identifies voids in NGC 628 with low association to known star clusters, supporting an evolutionary sequence from molecular clouds via stellar feedback to detached voids.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SKA will detect emission from heavy molecules and prebiotic species in obscured disk regions to constrain initial chemical conditions for planet formation.
citing papers explorer
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Automated void identification by Blendmask: from hierarchical molecular gas to hierarchical voids in NGC 628
Deep learning identifies voids in NGC 628 with low association to known star clusters, supporting an evolutionary sequence from molecular clouds via stellar feedback to detached voids.
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Unveiling Complex Chemistry in Planet-forming Disks with the SKAO
SKA will detect emission from heavy molecules and prebiotic species in obscured disk regions to constrain initial chemical conditions for planet formation.