KAIST
Chemical & Biomolecular Engineering

Separations,
from molecules
to systems

Membranes, Materials,
Machine Intelligence Laboratory

첨단 소재를 실제 분리 공정으로.
실험과 머신 인텔리전스로 그 연결을 앞당깁니다

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Membranes ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Sorbents ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Nanoporous Materials ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ DAC (Direct Air Capture) ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Artificial Intelligence ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Bayesian Optimization ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Self-Driving Laboratory ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎

Membranes ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Sorbents ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Nanoporous Materials ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ DAC (Direct Air Capture) ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Artificial Intelligence ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Bayesian Optimization ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎ Self-Driving Laboratory ‎‎‎ ‎ ‎ ‎ ‎ ‎ ‎

Research

  • Membranes

    Selective membranes for complex liquid and gas separations, from materials to scalable modules.

  • Materials & Systems

    Sorbents and integrated systems for carbon removal, hydrogen purification, and carbon utilization.

  • Machine Intelligence

    Bayesian optimization and self-driving laboratories to accelerate experimental discovery and process development.

Nature (2026)

Our mesoporous membranes bring molecular separations to complex crude oil mixtures, opening a route toward less energy-intensive refining.

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Featured research

A membrane route to crude oil fractionation

MMML research illustration of crude oil fractionation using a mesoporous membrane

People behind
the research

We bring together materials science, separation engineering, and machine intelligence at KAIST.

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MMML research group at KAIST in spring 2026

From the lab