Water binding energy on silicate grains is twice that on ice, enabling local retention and inheritance for terrestrial planets without outer Solar System delivery.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative 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.
citing papers explorer
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Astrochemical Inheritance of Terrestrial Planets Water from Local Wet Silicates
Water binding energy on silicate grains is twice that on ice, enabling local retention and inheritance for terrestrial planets without outer Solar System delivery.
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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.