MAFOR

The Multicomponent Aerosol Formation model

Brought to you by: madformafor

As of 2021-11-09, this project can be found here.

Downloads: 0 This Week

Last Update: 2021-11-09

Get an email when there's a new version of MAFOR

Linux

The MAFOR (Multicomponent Aerosol FORmation) model is a Lagrangian type sectional aerosol box model which includes gas phase and aqueous phase chemistry in addition to aerosol dynamics. MAFOR consistently solves the time evolution of the particle number and mass concentration distribution of a multicomponent aerosol using the fixed sectional method and simultaneously the time-dependent concentrations of chemical compounds in the gas phase and also in the aqueous phase of supermicron droplets.

Release of the source code of the model as open source under the GNU General Public License (GPL) . Release version 1.9.5 is the last release on sourceforge. From version 2.0 onwards, MAFOR becomes a community model for aerosol dynamics.

The software is a console application with no GUI at the moment. The main intention of distributing the MAFOR model is the usage for educational purposes. We are looking for interested developers who want to contribute to the further development of MAFOR.

Features

gas phase chemistry and particle formation in environmental chambers
ultrafine exhaust particles emitted by traffic
new particle formation over the Arctic Ocean
aqueous phase chemistry of amines in fog/cloud

Project Samples

Particle growth experiment

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow MAFOR

Other Useful Business Software

Full-stack observability with actually useful AI | Grafana Cloud Icon

Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.

Create free account

Rate This Project

Login To Rate This Project

User Reviews

Be the first to post a review of MAFOR!

Additional Project Details

Operating Systems

Programming Language

Registered

2015-10-09

Report inappropriate content

Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.

Create free account

Recommended Projects

Python/FEniCS Examples
phase-field simulation and other examples with Python/FEniCS
ED Software
ED Software project contains several programs used (mostly) for processing gas-phase electron diffraction (GED) experimental data.
Ascalaph Designer
Graphic molecular dynamic package.
SoluCalc
After about a year's design and coding, now a advanced version of Solucalc has been developed. The advanced version is called ISLEC, which used a Particle swarm based Gibbs free energy minimization approach to solve the equilibrium problem. At the same time, the Pitzer's model proposed by C. E. Harvie & J. Weare in 1980 was persisted. ISLEC has many features: 1. Single point calculation was used instead of line calculation 2. Database was used instead of putting all the parameters in the input file 3. The structure of the database is simple and flexible 4. The algorithm for solving phase equilibrium is fast and robust 5. Model parameters given in literature can be easily use 6. Single temperature parameters and multi-temperature parameters have unified format Everyone can download the software and the source code on: http://sourceforge.net/projects/islec/
MESMER
MESMER is designed to analyze and simulate reactions in the gas phase that take place on a potential energy surface that is characterized by having one or more potential wells, and which are typically described by rate coefficients that depend on pressure (or concentration) as well as temperature. MESMER allows you to simulate systems over a wide range of pressures and temperatures, extract rate coefficients, analyze experimental data, fit model parameters and represent rate coefficients in formats that can be used directly in large scale simulations (e.g. Cantera or Chemkin).