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Molecular Dynamics Simulations

We recreate the behaviour of atoms and molecules in motion — predicting material properties, nanoscale interactions, and surface phenomena with atomistic precision. MD simulations uncover fundamental mechanisms that cannot be observed experimentally at such small scales.

What Are Molecular Dynamics Simulations?

Molecular Dynamics (MD) tracks the motion of atoms by numerically solving Newton’s equations using well-defined interatomic potentials. With MD, we observe atomic vibrations, diffusion, adsorption, phase changes, mechanical response, and thermal transport at femtosecond resolution.

We use classical MD (Lennard-Jones, EAM, Tersoff, CHARMM, AMBER) for large systems and ab-initio MD (DFT-based) for highly accurate chemistry-driven systems. This enables deep insights into nanostructures, biomolecules, surfaces, interfaces, polymers, and material stability.

Why It Matters
  • Atomic-level clarity: Observe interactions that cannot be captured by experiments.
  • Predict material performance: Strength, elasticity, diffusion rates, thermal conductivity.
  • Accelerate material discovery: Screen new alloys, polymers, and nanomaterials.
  • Understand surface behaviour: Adsorption, friction, wear, coating interactions.
  • Bridge nano to macro: Provide parameters for continuum models (MD → FEM → CFD).
106
Atoms simulated in high-precision nanostructure analysis
500 ps
Typical timescale for phase and diffusion studies
99%
Correlation with experimental trends

Our MD Simulation Process

System Definition: Crystal structure, molecule type, composition, defects, temperature, and boundary conditions.
Force Field Selection: EAM, Tersoff, ReaxFF, CHARMM, AMBER, OPLS depending on the material chemistry.
Energy Minimisation: Remove unphysical overlaps and relax the structure to a stable configuration.
Equilibration: NVT/NPT ensemble running, temperature and pressure stabilisation using thermostats and barostats.
Production Run: Long-timescale simulation for analysing structural, mechanical, or thermal behaviour.
Post-Processing: Radial distribution functions, MSD, stress–strain plots, velocity distributions, surface interactions, diffusion rates.
Property Extraction: Elastic constants, thermal conductivity, binding energy, defect mobility, adsorption energies.

What We Can Simulate

  • Nanoscale materials: Nanotubes, nanoparticles, graphene, 2D materials.
  • Polymers & soft matter: Chain mobility, swelling, crosslinking effects.
  • Crystalline solids: Dislocation motion, defect formation, mechanical strength.
  • Interfaces & surfaces: Adhesion, friction, lubrication, coating behaviour.
  • Biomolecular systems: Protein folding, ligand interactions, DNA stability.
  • Thermal transport: Phonon scattering and molecular-level heat conduction.
  • Phase transitions: Melting, amorphisation, crystallisation.

Scientific References

Atomistic Simulation Methods in Materials Science
Materials Today, 2021 — Force field accuracy, ensemble selection, and MD reliability.
Large-Scale MD for Nanomaterials
Computational Materials Science, 2022 — Predicting mechanical and thermal behaviour at nanoscale.
Molecular Dynamics in Soft Matter & Polymers
Journal of Chemical Physics, 2023 — Polymer chain dynamics and interface behaviour.

Ready to Explore Atomic-Scale Material Behaviour?

From nanostructures to biomolecules — MD reveals interactions atom by atom.

Get an MD Simulation Quote

Designed for companies

Trionics Labs collaborates with organizations to advance research and raise Technology Readiness Levels (TRL) through simulation, prototyping, and validation. We also support IP focused studies and deliver custom design and simulation services, providing precise, data driven solutions for experimental systems, component development, and performance optimization..

Get in touch

REDERO Trionics Pvt. Ltd.
17-1-382/v/1/29, Vyshalinagar,
Champapet, Hyderabad - 500079,
Telangana, India

  • +91 98256 00718
  • contact@trionicslabs.in
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