Open Source Fortran Simulation Software

Cantera is a suite of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and/or transport processes. It can be used from MATLAB, Python, C++, or Fortran.

SunlightDPD provides a home for open source codes related to the dissipative particle dynamics (DPD) simulation method. Currently the file release contains the HNC integral equation code.

Do you work with chemical reactors? Are you curious about them? ASALI is the open-source code that you are looking for. Chemical reactor models, transport/thermodynamic properties of gases, equilibrium calculations. ASALI couples all these features with an user friendly graphical interface. Modeling chemical reactors has never been so easy.

A Suite of Programs implementing a fast approach to the Debye Function Analysis (DFA) of powder diffraction data from nanocrystalline and/or non-ordered materials. See J. Appl. Cryst. 2015, 48, 2026-2032

This software has moved to http://www.poissonboltzmann.org/.

BrennerMD is a public domain Fortran molecular dynamics program by Donald Brenner and other people. This project is to maintain the original source code and to build a Python interface on top of it.

Hy3S uses advanced MPI parallelized hybrid stochastic simulation methods to quickly compute the dynamics of biochemical networks with thousands of species/reactions. Many features included (see Home Page). An easy-to-use GUI (Matlab req) is included.

A reactor solver which uses stochastic particle methods to model particle population balances. This code is developed by the CoMo group in the chemical engineering department at the university of Cambridge (como.cheng.cam.ac.uk).

NX is a program for nonadiabatic molecular dynamics in the electronic excited states. It is based on the surface hooping approach.

PUPIL (Program for User Package Interface and Linking), is a software environment that allows developers to link quickly and efficiently together multiple pieces of software in a fully automated multi-scale simulation. More specifically, it supports QM/MM MD simulations where the user might choose among any of the different MD engines and QM engines, which are connected to PUPIL as external programs through a tiny specific interface. One of the main advantages here is that the user can use most of the functionalities that may have those external programs interfaced without the necessity to be reimplemented again on independent interfaces. In fact, this simulation interface concentrates all the common code involved in the coupling terms of the QM/MM approach.

A solver for Lancester-Darmy equation. Not working yet.

PySCeS is the Python Simulator of Cellular Systems. For a network of coupled reactions it does a stoichiometric matrix analysis, calculates the time course and steady state, and does a complete control analysis.

This program allows to perform a structural cluster analysis of atomic trajectories obtained, e.g., from molecular dynamics simulations. At variance with other approaches, it is possible to analyse also processes in solution, e.g., chemical reactions in liquid water, since the distance metric is based on a Permutation Invariant Vector (PIV) that is symmetric under exchange of identical atoms or molecules, including on the same footing both solute and solvent degrees of freedom. The approach is general and the definition of PIV only requires to specify the range of interatomic distances that is relevant for the process under study. Alternatively, also the SPRINT topological coordinates can be employed, that are particularly suited for nanostructures. The output is a partitioning of the trajectory into a few structural clusters (i.e., sets of frames), allowing for simpler analysis and visualization. Please read and cite Gallet & Pietrucci, J. Chem. Phys. 139, 074101 (2013)

pyPulsar is a program for simulation and fitting of solid-state NMR spectra. It provides scripting facilities using Python. (This project was not developed for a long time: It will be soon moved in a new project currently developed)