2023
DOI: 10.1146/annurev-astro-022823-040820
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Protoplanetary Disk Chemistry

Abstract: Planets form in disks of gas and dust around young stars. The disk molecular reservoirs and their chemical evolution affect all aspects of planet formation, from the coagulation of dust grains into pebbles to the elemental and molecular compositions of the mature planet. Disk chemistry also enables unique probes of disk structures and dynamics, including those directly linked to ongoing planet formation. We review the protoplanetary disk chemistry of the volatile elements H, O, C, N, S, and P; the associated o… Show more

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Cited by 35 publications
(1 citation statement)
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“…While static disk models cover more complete chemical networks, studies considering dynamical effects (e.g., Aikawa & Herbst 1999;Semenov & Wiebe 2011;Furuya et al 2013;Furuya & Aikawa 2014;Price et al 2020;Bergner & Ciesla 2021;Van Clepper et al 2022) by incorporating radial and/or vertical gas/dust mixing often reveal different chemical distributions compared to static models. These dynamic models may provide a better explanation for observations (see reviews by Krijt et al 2022 andÖberg et al 2023, andreferences therein). We anticipate that, by accounting for advection and turbulent diffusion due to a specific thermal structure, the chemical distribution can be more accurately predicted.…”
Section: Observational and Modeling Prospectmentioning
confidence: 98%
“…While static disk models cover more complete chemical networks, studies considering dynamical effects (e.g., Aikawa & Herbst 1999;Semenov & Wiebe 2011;Furuya et al 2013;Furuya & Aikawa 2014;Price et al 2020;Bergner & Ciesla 2021;Van Clepper et al 2022) by incorporating radial and/or vertical gas/dust mixing often reveal different chemical distributions compared to static models. These dynamic models may provide a better explanation for observations (see reviews by Krijt et al 2022 andÖberg et al 2023, andreferences therein). We anticipate that, by accounting for advection and turbulent diffusion due to a specific thermal structure, the chemical distribution can be more accurately predicted.…”
Section: Observational and Modeling Prospectmentioning
confidence: 98%