PolyJarvis: An LLM-Orchestrated Agent for Automated All-Atom Molecular Dynamics of Amorphous Homopolymers
arXiv:2604.02537v2 Announce Type: replace Abstract: All-atom molecular dynamics (MD) simulations can predict polymer properties from molecular structure, yet their execution requires specialized expertise in force field selection, system construction, equilibration, and property extraction. We present PolyJarvis, an agent that couples a large language model (LLM) with established simulation toolkits, including Enhanced Monte Carlo (EMC) for system construction and LAMMPS for molecular dynamics, through Model Context Protocol (MCP) servers, enabling end-to-end polymer property prediction from n
The rapid advancement of large language models (LLMs) and their integration with scientific computing tools is enabling new levels of automation in specialized research fields, like materials science, that were previously bottlenecked by manual expertise.
This development allows for the significant acceleration of materials discovery and optimization, reducing the time and cost associated with developing new polymers and other advanced materials, which has broad implications for manufacturing, energy, and medicine.
Specialized, expert-driven molecular dynamics simulations, once requiring extensive human oversight, can now be orchestrated end-to-end by AI agents, making sophisticated material property prediction accessible to a wider range of researchers and industries.
- · Materials science researchers
- · Chemical and polymer manufacturers
- · AI agent developers
- · Pharmaceuticals
- · Companies reliant on slow, traditional R&D
- · Specialized simulation consultants
Automated material discovery pipelines will significantly accelerate the development of novel polymers with tailored properties.
This acceleration will lead to faster innovation cycles in industries dependent on new materials, such as aerospace, automotive, and medical devices.
The reduced barrier to entry for materials design could decentralize materials innovation, fostering a new era of specialized material startups and potentially impacting global supply chains for advanced substances.
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