ArticleJournal of chemical information and modeling2024
LUNAR: Automated Input Generation and Analysis for Reactive LAMMPS Simulations.
Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- lmp2gro: A Python Tool for Converting LAMMPS Data Files into GROMACS Topologies.Journal of chemical information and modeling · 2026Article
- From Molecular Structure to Macroscopic Performance: Insights into Polycarbosilane Curing.Macromolecular rapid communications · 2026Article
- MolPy: A Large Language Model-Friendly Toolkit for Reactive Topology Editing in Polymer Simulations.Journal of chemical information and modeling · 2026Article
- Advanced Multiscale Modeling for Revealing Anomalous Fluid Transport Induced by Confinement Interfacial Layer Reconstruction in Sub-10 nm Space.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Automatic determination of mechanical properties from Molecular Dynamic Stress-Strain curves using Regression Fringe Response.Communications engineering · 2026Article
- Reactive MD Screening of Antioxidants for Substituent-Dependent Phenoxyl Radical Stability.ACS omega · 2026Article
- Elasticity and Dynamics of Elastomeric Epoxy Networks: Comparing Simulations and Experiments at High Frequency.ACS macro letters · 2025Article
- Nanoscale Structure-Property Relationships of Cyanate Ester as a Function of Extent of Cure.ACS polymers Au · 2025Article
- Optimizing Epoxy Nanocomposites with Oxidized Graphene Quantum Dots for Superior Mechanical Performance: A Molecular Dynamics Approach.ACS omega · 2025Article
- High-performance, multi-component epoxy resin simulation for predicting thermo-mechanical property evolution during curing.Polymer journal · 2025Article
- Molecular structure data and modelling roadmap for optimized oxidized graphene quantum dot and epoxy interface and mechanical properties.Data in brief · 2024Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generating simulation-ready molecular models for the LAMMPS molecular dynamics (MD) simulation software package is a difficult task and impedes the more widespread and efficient use of MD in materials design and development. Fixed-bond force fields generally require manual assignment of atom types, bonded interactions, charges, and simulation domain sizes. A new LAMMPS pre- and postprocessing toolkit (LUNAR) is presented that efficiently builds molecular systems for LAMMPS. LUNAR automatically assigns atom types, generates bonded interactions, assigns charges, and provides initial configuration methods to generate large molecular systems. LUNAR can also incorporate chemical reactivity into simulations by facilitating the use of the REACTER protocol. Additionally, LUNAR provides postprocessing for free volume calculations, cure characterization calculations, and property predictions from LAMMPS thermodynamic outputs. LUNAR has been validated via building and simulation of pure epoxy and cyanate ester polymer systems with a comparison of the corresponding predicted structures and properties to benchmark values, including experimental results from the literature. LUNAR provides the tools for the computationally driven development of next-generation composite materials in the Integrated Computational Materials Engineering (ICME) and Materials Genome Initiative (MGI) frameworks. LUNAR is written in Python with the usage of NumPy and can be used via a graphical user interface, a command line interface, or an integrated design environment. LUNAR is freely available via GitHub.
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Registered trials
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