Janus

Janus implements adaptive quantum mechanics/molecular mechanics (QM/MM) methods to enable on-the-fly reassignment of the QM region for dynamic treatment of systems with nonlocalized active centers.


Key Features:

  • Adaptive QM/MM methods: Implements adaptive QM/MM approaches that enable the QM region to change during simulations.
  • Dynamic system treatment: Enables dynamic treatment of systems with nonlocalized or mobile active centers.
  • Modular Python library: Provided as a modular, extensible Python library that implements various existing adaptive methods.
  • Psi4 integration: Interfaces with Psi4 for quantum chemical calculations.
  • OpenMM integration: Interfaces with OpenMM for molecular dynamics simulations.
  • Extensibility and integration: Modular infrastructure and a Python API support integration with other molecular codes and development of custom adaptive approaches.

Scientific Applications:

  • Computational chemistry and molecular modeling: Supports simulations and studies requiring adaptive QM/MM treatments.
  • Simulations of nonlocalized active centers: Applied to systems where active regions are mobile or nonlocalized and the QM region must adapt.
  • Method development and benchmarking: Enables implementation, development, and benchmarking of existing and novel adaptive QM/MM algorithms.

Methodology:

Implements adaptive QM/MM algorithms with on-the-fly QM region reassignment, delegates quantum chemical calculations to Psi4 and molecular dynamics to OpenMM, and is implemented as a modular Python library with a Python API for integration and customization.

Topics

Details

License:
BSD-3-Clause
Maturity:
Mature
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
7/31/2019
Last Updated:
6/16/2020

Operations

Publications

Zhang B, Altarawy D, Barnes T, Turney JM, Schaefer HF. Janus: An Extensible Open-Source Software Package for Adaptive QM/MM Methods. Journal of Chemical Theory and Computation. 2019;15(8):4362-4373. doi:10.1021/acs.jctc.9b00182. PMID:31310719.

PMID: 31310719
Funding: - Division of Chemistry: CHE-1661604 - National Science Foundation: ACI-1547580

Documentation

Links