Ensembler

Ensembler provides access to one-dimensional (1D) and two-dimensional (2D) model-system simulations to prototype and develop molecular dynamics (MD) methods including enhanced sampling and free energy calculations.

Key Features:

• Model system support: Provides simulation models for one-dimensional (1D) and two-dimensional (2D) systems for method development.
• Rapid access to simulations: Facilitates rapid and efficient access to small test-system simulations for prototyping MD techniques.
• Method prototyping: Enables development and refinement of fundamental and advanced MD methodologies using model systems.
• Enhanced sampling and free energy: Supports prototyping of enhanced sampling approaches and free energy calculation methods.
• Reproducibility and shareability: Emphasizes shareability, comparability, and reproducibility of scientific code developments.
• Python implementation: Implemented as a Python package leveraging the Python ecosystem for extension and scripting.

Scientific Applications:

• Computational chemistry and biophysics: Provides model systems relevant to studies in computational chemistry and biophysics.
• MD method development and benchmarking: Serves as a platform for prototyping and comparing molecular dynamics algorithms and workflows.
• Enhanced sampling methods: Supports development and testing of enhanced sampling techniques to improve conformational sampling.
• Free energy calculations: Supports development and validation of free energy calculation methodologies.

Methodology:

Implemented as a Python package that provides 1D and 2D model-system simulations for prototyping and testing MD techniques, explicitly including enhanced sampling and free energy calculation methods.