Articles | Volume 15, issue 18
Model description paper
22 Sep 2022
Model description paper |  | 22 Sep 2022

MultilayerPy (v1.0): a Python-based framework for building, running and optimising kinetic multi-layer models of aerosols and films

Adam Milsom, Amy Lees, Adam M. Squires, and Christian Pfrang


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-143', Anonymous Referee #1, 30 May 2022
  • RC2: 'Comment on egusphere-2022-143', Anonymous Referee #2, 07 Jun 2022
  • AC1: 'Comment on egusphere-2022-143', Christian Pfrang, 16 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Christian Pfrang on behalf of the Authors (16 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (01 Aug 2022) by Sylwester Arabas
RR by Anonymous Referee #2 (18 Aug 2022)
ED: Publish subject to technical corrections (25 Aug 2022) by Sylwester Arabas
AR by Christian Pfrang on behalf of the Authors (01 Sep 2022)  Author's response   Manuscript 
Short summary
MultilayerPy is a Python-based framework facilitating the creation, running and optimisation of state-of-the-art kinetic multi-layer models of aerosol and film processes. Models can be fit to data with local and global optimisation algorithms along with a statistical sampling algorithm, which quantifies the uncertainty in optimised model parameters. This “modelling study in a box” enables more reproducible and reliable results, with model code and outputs produced in a human-readable way.