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https://github.com/NQCD/NQCDynamics.jl

Fast and flexible nonadiabatic molecular dynamics in Julia!
https://github.com/NQCD/NQCDynamics.jl

molecular-dynamics monte-carlo nonadiabatic physics-simulation quantum-classical semi-classical

Last synced: 27 days ago
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Fast and flexible nonadiabatic molecular dynamics in Julia!

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NQCDynamics.jl logo

# NQCDynamics.jl

| **Documentation** | **Build Status** | **License** |
|:------------------------------------------------------|:----------------------------------------------- |:-------------------------------- |
| [![][docs-img]][docs-url] [![][ddocs-img]][ddocs-url] | [![][ci-img]][ci-url] [![][ccov-img]][ccov-url] | [![][license-img]][license-url] |

[ddocs-img]: https://img.shields.io/badge/docs-dev-blue.svg
[ddocs-url]: https://nqcd.github.io/NQCDynamics.jl/dev/

[docs-img]: https://img.shields.io/badge/docs-stable-blue.svg
[docs-url]: https://nqcd.github.io/NQCDynamics.jl/stable/

[ci-img]: https://github.com/nqcd/NQCDynamics.jl/actions/workflows/CI.yml/badge.svg
[ci-url]: https://github.com/nqcd/NQCDynamics.jl/actions/workflows/CI.yml

[ccov-img]: https://codecov.io/gh/NQCD/NQCDynamics.jl/branch/main/graph/badge.svg
[ccov-url]: https://codecov.io/gh/NQCD/NQCDynamics.jl

[license-img]: https://img.shields.io/github/license/NQCD/NQCDynamics.jl
[license-url]: https://github.com/NQCD/NQCDynamics.jl/blob/main/LICENSE

**Fast and flexible nonadiabatic molecular dynamics in Julia!**

- 🚗 **Fast:** uses [DifferentialEquations.jl](https://diffeq.sciml.ai/stable/) for efficient dynamics.
- 🪚 **Extensible:** plenty of room for more methods.
- ⚛️ **Transferable:** handles both simple models and atomistic systems.
- 👩‍🏫 **Helpful:** extended documentation with plenty of examples.


Explore the NQCDynamics.jl docs 📚

---

With this package you can generate the initial conditions and perform the dynamics for your nonadiabatic dynamics simulations.
Tight integration with [DifferentialEquations.jl](https://diffeq.sciml.ai/stable/)
makes the implementation of new methods relatively simple since we
build upon an already successful package providing a vast array of features.
We hope that the package will be of use to new students and experienced researchers alike, acting as a tool for learning and for developing new methods.