Lumol is a classical molecular simulation engine that provides a solid base for developing new algorithms and methods. Using Lumol, you can customize the behavior of all the algorithms in a simulation. Adding a new force field, customizing Monte Carlo moves or molecular dynamics integrators is easy and well documented.
Lumol goals are to be flexible, reliable and extensible. For us, this means that this software should be:
- flexible: the code can simulate all kind of systems, from proteins to crystals, using various methods: molecular dynamics, Monte Carlo, etc.
- reliable: the code is well tested, both at the function level; and at the simulation level, checking thermodynamic properties of the systems;
- extendable: the code is modular, object-oriented, well documented, open-source, and easy to read.
Lumol is actively developed, and should be considered as alpha software. If you are interested, have some questions or want to participate, you can open a Github issue or go to the project chat room.
- Pair, molecular and electrostatic interactions (with Ewald or Wolf methods);
- Energy minimization;
- Molecular dynamics simulations in the NVE, NVT and NPT ensembles;
- Monte Carlo simulations in the NVT ensemble;
- and many others! Have a look at the documentation for more information
Lumol provides both a command line tool for running simulations; and a Rust library for writing your own simulations algorithms using the pre-existing building blocks.
Documentation is hosted here, and separated in multiple parts:
- The user manual contains information about the general concepts of systems and simulations used in Lumol. Additionally, it has tutorials on how to use and extend Lumol. Use this documentation if you want to know basic concepts and how they are used in Lumol.
- The input reference contains information about - well, the input file system of Lumol. Use this document if you want to use Lumol as a command line tool without writing code.
- To use Lumol as a library inside your own code, we have a developer documentation, which contains documentation for all the library public functions, and examples for most of them.
You will need a stable Rust compiler, grab one if you do not have one yet. Then, you can download the code, build it and install it by running:
cargo install --git https://github.com/lumol-org/lumolThis will produce the a lumol binary in ~/.cargo/bin.
You can add Lumol as a dependency in your project's Cargo.toml:
[dependencies]
lumol = {git = "https://github.com/lumol-org/lumol"}A tutorial about how to implement new algorithms in Lumol is coming. While waiting, you can ask your questions here.
If you want to contribute to Lumol, there are several ways to go: improving the documentation and helping with language issues; testing the code on your systems to find bugs; adding new algorithms and potentials; providing feature requests. Please come by and talk with us a bit before staring new work, or open an issue to discuss improvements. We also have recommendations for contributors.
See the AUTHORS file for a list of contributors to the code.
This software is licensed under the BSD license, see the LICENSE file for legal text.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, shall be licensed under the same BSD license, without any additional terms or conditions.