Impact of grain evolution on the chemical structure of protoplanetary disks
A.I. Vasyunin (1, 2), D.S. Wiebe (3), T. Birnstiel (1), S., Zhukovska (1), Th. Henning (1), C.P. Dullemond (1) ((1) Max Planck Institute, for Astronomy, (2) The Ohio State University, (3) Institute of Astronomy of, the Russian Academy of Sciences)

TL;DR
This study investigates how dust grain growth, fragmentation, and sedimentation influence the chemical composition of protoplanetary disks, revealing significant effects on molecular abundances and potential observational tracers.
Contribution
It introduces a comprehensive dust evolution model including growth, fragmentation, and sedimentation, and assesses their combined impact on disk chemistry and observable molecular signatures.
Findings
Sedimentation and grain growth significantly increase gas-phase molecule column densities.
Fragmentation maintains small grains, reducing total grain surface area.
Certain molecules and ratios can trace early dust evolution stages.
Abstract
We study the impact of dust evolution in a protoplanetary disk around a T Tauri star on the disk chemical composition. For the first time we utilize a comprehensive model of dust evolution which includes growth, fragmentation and sedimentation. Specific attention is paid to the influence of grain evolution on the penetration of the UV field in the disk. A chemical model that includes a comprehensive set of gas phase and grain surface chemical reactions is used to simulate the chemical structure of the disk. The main effect of the grain evolution on the disk chemical composition comes from sedimentation, and, to a lesser degree, from the reduction of the total grain surface area. The net effect of grain growth is suppressed by the fragmentation process which maintains a population of small grains, dominating the total grain surface area. We consider three models of dust properties. In…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
