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  • How-To Guide
  • Background Information
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  • Getting Started
  • How-To Guide
  • Background Information
  • User Guide
  • Developers Documentation
  • Glossary
  • Plug-ins
  • Status
  • Statistics
  • SEAMM Developers
  • Acknowledgements
  • SEAMM Documentation
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Section Navigation

  • A Home for Tools
  • Software Ecosystem
    • Graphical User Interface
    • Dashboard
    • Flowchart
    • Flowchart Interpreter
    • Job Manager
    • Job Datastore
  • Plug-ins
  • Handling Forcefields and Interatomic Potentials in SEAMM
    • Anatomy of a Forcefield Plug-in
    • Selecting a Forcefield
    • Atom Typing
    • Energy Expression
    • Using the Energy Expression
  • QM-MD over MDI (the LAMMPS driver)
  • Creating a New Plug-in
    • Saving Properties in the Database
    • Creating the Initial Code and Uploading to GitHub
  • Tips and Tricks
    • Updating with Cookiecutter
  • Tutorials for Developers
    • Installing the Development Environment
    • A simple plug-in: PySCF
      • Creating the plug-in with the seamm-cookiecutter
      • “Compiling” the plug-in
      • An overview of the code
      • Customizing the plug-in to run PySCF
      • Create a test flowchart
  • Core Modules
    • seamm
    • molsystem
    • seamm-util
    • seamm-widgets
    • seamm-ff-util
    • seamm-jobserver
    • seamm-installer
  • Campaigns
    • 2026-06-19 MDI engines
      • Development Plan: QM/MD via MDI in SEAMM — MOPAC First
      • Notes on Open Investigations: MOPAC Conda Packaging and VASP via MDI
      • Validation Notes: MOPAC Native MDI Engine for LAMMPS
      • Validation Notes: tblite MDI Engine and MOPAC Python-Wrapper MDI Engine
      • Scientific Finding: Semiempirical Method Accuracy for Liquid Methanol
    • 2026-06-22 Model Chemistry Step, Metadata Protocol, and MOPAC/xTB via MDI
      • Plan: Model Chemistry Step, Metadata Protocol, and MOPAC/xTB via MDI
      • Phase A – MOPAC-side MDI engine launch contract and port strategy
      • Phase B – Model Chemistry Step (selection + storage)
      • Phase C – LAMMPS consumption of the model chemistry (MDI)
      • Phase D (sketch) – Forcefield handling folded into Model Chemistry
      • Project handoff – LAMMPS + MOPAC QM-MD coupling via MDI
    • 2026-06-26 Long-Range Electrostatics for Short-Range MLFFs
      • Plan: Long-Range Electrostatics for Short-Range MLFFs
      • Notes: Atomic Charge Methods and MLFF Long-Range Prior Art
  • Developers Documentation
  • Campaigns
  • 2026-06-19 MDI engines

2026-06-19 MDI engines#

Goal#

Supporting MDI with, initially, MOPAC and xTB as engines for LAMMPS. This will allow us to use semiempirical methods with MD. This initial phase will build on the work with the MDI connections for MLFFs, starting with standalone tests and ending with incorporating the functionality in the LAMMPS step in SEAMM.

Contents:

  • Development Plan: QM/MD via MDI in SEAMM — MOPAC First
    • Overview
    • Architecture
    • SEAMM integration design
    • MOPAC .mop file for MDI mode
    • Phased development plan
    • Known issues and open questions
    • Comparison with MACE MDI (for reference)
    • References
  • Notes on Open Investigations: MOPAC Conda Packaging and VASP via MDI
    • Part A – mopac-feedstock conda-forge packaging
    • Part B – VASP via MDI: feasibility assessment
    • References
  • Validation Notes: MOPAC Native MDI Engine for LAMMPS
    • Purpose
    • Environment and build configuration
    • Bugs identified and fixed
    • Validation results
    • Known limitations and open items
    • References
  • Validation Notes: tblite MDI Engine and MOPAC Python-Wrapper MDI Engine
    • Purpose
    • Part A – tblite MDI engine
    • Part B – MOPAC Python-wrapper MDI engine (mopac_mdi.py)
    • Open items carried forward
    • References
  • Scientific Finding: Semiempirical Method Accuracy for Liquid Methanol
    • Context
    • Results
    • Interpretation
    • Possible next steps (not yet pursued)
    • References

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Development Plan: QM/MD via MDI in SEAMM — MOPAC First

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© Copyright 2019-2023 The Molecular Sciences Software Institute

Funded by the National Science Foundation OAC-1547580 and CHE-2136142.

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