Ajou University School of Frontier Sciences · Department of Chemistry

Multiscale Molecular Computational Chemistry Lab

We build computer models and machine-learning tools to explain how molecular motion shapes liquids, polymers, and nanomaterials across scales.

01 / 08Electron densityWoven framework COF-505Quantum electron-density calculation (DFT) · 1,056-atom periodic cell

Multiscale

We choose the level of detail that matches the question, from electronic changes during a reaction to the collective motion that shapes a material.

Ånmµm
0.1-1 nm

Density Functional Theory (DFT)

DFT calculates how electrons are distributed, revealing energy changes, atomic forces, and reactive regions for selected molecular structures.

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nuclearconfigurationOOCupdatedensity loopbuildsolveLUMOHOMO
1-10 nm

Machine-Learning Force Fields

A model trained on quantum calculations predicts forces for reactive and aqueous simulations at larger sizes and longer times than direct electronic calculations.

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AtomsNearby atomsConnectionsLearned description
1-100 nm

All-Atom Molecular Dynamics

All-atom molecular dynamics follows every atom with fixed interaction rules, reaching the trajectories needed to study structure, transport, and relaxation.

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CCCOatoms farther apartshort-range + chargesbond stretchrangle bendθO-C′-Cαbond rotationφHα-Cα-C′-Oδ+δ−
10 nm - 1 μm

Mesoscale Modeling

Coarse-graining groups several atoms into simplified units to reach larger systems and longer collective motion.

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group atomsAll-atomGrouped beads

Recent Publications

Lab News

March 15, 2026

Member

Recruiting Undergraduate Researchers

Yu Lab welcomes undergraduates from chemistry, chemical engineering, physics, materials science, computing, and related fields, including beginners in molecular simulation.

March 1, 2026

News

Yu Lab Launches at Ajou University

Yu Lab opens at Ajou University to develop molecular simulation and machine-learning methods for liquids, polymers, and nanomaterials.