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

Recent publications

  1. Yugyeong Sung, Ingyu Park, Miseong Kim, Yunseok Lee, Yeonwook Kim, Seungin Lee, Dong-Yeun Koh, Ah-Hyung Alissa Park, Youngjune Park (2026). Impregnation of liquid-like nanoparticle organic hybrid materials in mesoporous fiber sorbent with hierarchical structures for scalable direct air capture. Chemical Engineering Journal, 548, Article 181601 DOI View publication
  2. Banseok Oh, Injun Park, Dong-Yeun Koh (2026). Joule-Heated Woven Fiber Contactors for Direct Air Capture. Energy & Fuels, 40(42), 23417-23426 DOI View publication
  3. Abdulrahman AlMashaan, Aqil Jamal, Dong-Yeun Koh, Jay H. Lee (2026). Cycle-by-cycle optimization of direct air capture (DAC) operation under varying ambient air conditions. Chemical Engineering Journal, Article 183475 DOI View publication
  4. Banseok Oh, Hyeokjun Seo, Jeongsu Wi, Dong-Yeun Koh (2026). Plasma engineered carbon molecular sieve membranes for precise and stable hydrogen permeation. Science Advances, 12(35), Article eaee7783 DOI View publication
  5. Jihoon Choi, Hyeokjun Seo, Minyong Lee, Woong-Chul Shin, Jaemin Choi, Keonwoo Choi, Min-Jun Jang, Sung Gap Im, Jae W. Lee, Ryan P. Lively, Dong-Yeun Koh (2026). Crude oil fractionation by means of mesoporous polyacrylonitrile membranes. Nature, 654(8120), 955-962 DOI View publication