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🌊 Molecular Dynamics · Molecular Dynamics / AIMD

⚡ Delivery commitment: AIMD simulation · 7-day delivery (industry average 30 days) | Error rate <2%, project delay rate <2% | Delay compensation

Methodology

Method

Molecular dynamics simulation reproduces how materials evolve over time at the atomic scale. AIMD pairs first-principles accuracy with dynamic sampling and is the gold standard for studying interfacial processes, ion transport and thermodynamic properties.

Applications

Applications
Solid electrolytes Electrode/electrolyte interface Polymers Molten salts Biomolecules Nanofluids

Related projects

Related Projects

AIMD simulation ★ Flagship

First-principles-accurate dynamics — flagship scenario

Availability: queued
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Diffusion coefficient

Quantitative ion transport

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Radial distribution function

Local structure analysis

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Interfacial processes

SEI formation / wetting behavior

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Glass transition

Tg and thermodynamic properties

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Thermal conductivity

NEMD / Green-Kubo

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Viscosity calculation

Transport properties

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Free energy surfaces

Metadynamics enhanced sampling

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Case Studies

Success Cases
Advanced Energy Materials
24.4 IF
Li-ion cathode interface AIMD
J. Materials Chemistry A
10.7 IF
Solid-state electrolyte transport

FAQ

FAQ
Is the AIMD timescale long enough?

Routine sampling runs 50–100 ps, and with enhanced sampling we can cover nanosecond-scale processes. The sampling strategy is fixed after final review by Bian Xiaobo.

How long does it take?

AIMD is delivered in 7 days (industry average 30 days); classical MD in 3–5 days.

What if the force field is off?

For critical systems we go straight to AIMD or first train a machine-learning potential — we refuse to "force a calculation with the wrong force field".

Can the data be reproduced?

Includes the Computational Traceability Report: ensemble, time step, thermostat algorithm and trajectory files are all archived.

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