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
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
years
2026 6verdicts
UNVERDICTED 6representative citing papers
The CH₃OH/CH₃CN ratio in the S68N outflow is constant at ~100-200 and matches gas-phase astrochemical models only when cosmic-ray ionization rates are raised to ~10^{-14} s^{-1}.
SKA will detect emission from heavy molecules and prebiotic species in obscured disk regions to constrain initial chemical conditions for planet formation.
The paper proposes the iSEEDs project to integrate machine learning with astrochemistry for extracting physical conditions and molecular abundances from protostellar disk datasets.
Advocates for a 2deg x 0.4deg multi-wavelength SKA-Mid continuum survey plus decade-long monitoring of the Galactic Centre nuclear star cluster to address multiple science questions with one dataset.
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 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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Probing outflow physics through CH$_3$CN and CH$_3$OH chemistry
The CH₃OH/CH₃CN ratio in the S68N outflow is constant at ~100-200 and matches gas-phase astrochemical models only when cosmic-ray ionization rates are raised to ~10^{-14} s^{-1}.
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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.
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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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The Nearest Galactic Nucleus: Studying the Galactic Centre with SKA-Mid
Advocates for a 2deg x 0.4deg multi-wavelength SKA-Mid continuum survey plus decade-long monitoring of the Galactic Centre nuclear star cluster to address multiple science questions with one dataset.
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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.