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Area of Science:

  • Chemical Physics
  • Computational Chemistry
  • Materials Science

Background:

  • Interoperability between scientific software is crucial for complex simulations.
  • Existing methods for code integration often face challenges with dependency management and modularity.

Purpose of the Study:

  • To present novel solutions for scientific code interoperability challenges.
  • To introduce the MolSSI Driver Interface (MDI) Plugin System and MDI Mechanic.

Main Methods:

  • Development of the MDI Plugin System for modular code integration.
  • Implementation of MDI Mechanic using Docker for ecosystem management.
  • Creation of a callback system for granular interaction between codes and plugins.

Main Results:

  • The MDI Plugin System allows runtime selection of modular plugins without build-time linking.
  • MDI Mechanic simplifies development, validation, and deployment of MDI-supported codes.
  • Containerization in MDI Mechanic enables isolated execution environments for interoperating codes, reducing dependency conflicts.

Conclusions:

  • The MDI Plugin System significantly advances scientific code modularity.
  • MDI Mechanic lowers the barrier to entry for using MDI-enabled codes by simplifying complex simulation setups.