Dust Coagulation and Spatial Memory Coupling in Protoplanetary Disks via K-Kernel Dynamics

The early stages of planet formation rely on the coagulation of dust grains in protoplanetary disks. Understanding the spatial distribution of these grains is crucial for modeling planetesimals. In this study, we apply the Adaptive Memory-Decay Control Framework (AMDCF) to model dust column density, introducing a non-Markovian spatial memory kernel that couples to grain size. We demonstrate that larger grains exhibit stronger coupling to the spacetime memory, resulting in faster spatial decay of column density. The simulation reproduces the expected radial density profiles for grain sizes ranging from 0.04 μm to 36.0 μm, providing a novel geometric interpretation for dust settling and radial drift in protoplanetary environments.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24015293
Primary Topic
Astrophysics and Star Formation Studies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Dust Coagulation and Spatial Memory Coupling in Protoplanetary Disks via K-Kernel Dynamics

MOHAMMED TAHAR SAIM
Zenodo (CERN European Organization for Nuclear Research)
Astrophysics and Star Formation Studies
preprint

Dust Coagulation and Spatial Memory Coupling in Protoplanetary Disks via K-Kernel Dynamics

MOHAMMED TAHAR SAIM
preprint en

Abstract

The early stages of planet formation rely on the coagulation of dust grains in protoplanetary disks. Understanding the spatial distribution of these grains is crucial for modeling planetesimals. In this study, we apply the Adaptive Memory-Decay Control Framework (AMDCF) to model dust column density, introducing a non-Markovian spatial memory kernel that couples to grain size. We demonstrate that larger grains exhibit stronger coupling to the spacetime memory, resulting in faster spatial decay of column density. The simulation reproduces the expected radial density profiles for grain sizes ranging from 0.04 μm to 36.0 μm, providing a novel geometric interpretation for dust settling and radial drift in protoplanetary environments.

Zenodo (CERN European Organization for Nuclear Research)
Astrophysics and Star Formation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon