연구

연구실

연구실

게시글 검색

23건의 게시물이 있습니다.

There are a total of 23 posts.

LENS² (Laboratory for Emerging Nanomaterials: Synthesis and Spectroscopy)

주요연구

    · Synthesis of colloidal quantum dots

    · Excited state dynamics in nanomaterials

    · Light-induced magnetization

    · Spin-enabled photochemistry

HERO(Hydrogen Energy Research Prof. Oh) Lab.

주요연구

    1) Efficient energy carrier storage(e.g., hydrogen, methane, etc.),

    2) Greenhouse gas capture (e.g., CO2, NH3) ,

    3) Quantum Sieving for cost-effective light gas isotope (e.g., H2/D2/T2, 16O/18O, 3He/4He, etc.) separation

    4) Novel H2 boil-off mitigation technology for liquid hydrogen storage and transportation,

    5) Magnetocaloric effect(MCE) of MOF for LH2 production.

Biomimetic Inorganic-Organic Coordination Chemistry

주요연구

    The goal of Biomimetic Inorganic-Organic Coordination Chemistry (BIOCC) Laboratory is to clarify the 'Biological Process' in the reactions of metalloenzymes through the biomimetic system and utilize the biomimetic techniques in medical and environmental applications.

    # Design of model complexes of metalloenzymes

    # Characterization and reactivity studies for biomimetic materials

    # Application for medical (e.g., anti-cancer drug, vasodilation) & environmental materials (e.g., catalyst)

Bioorganic & Chemical Biology Lab.

주요연구

    1. Synthetic Organic Chemistry (유기합성화학)

    - Novel synthetic methods for peptides and proteins (새로운 펩타이드/단백질 합성법 개발)

    2. Molecular Design of Chemical Biology Tools (화학생물학적 분자 도구 개발)

    - New molecular tools for studying protein post-translational modifications (단백질 번역후 수식 연구)

    3. Drug Discovery (신약 후보물질 발굴)

    - Drug candidates against cancer and drug-resistant bacteria. (항암제 및 수퍼박테리아 대응 항생제)

    4. Investigation of Biological Systems (세포내 생물 시스템의 화학적 연구)

    - Molecular understanding and application of cellular signal transduction systems

Crasy(Correlated Rotational Alignment Spectroscopy) Lab

주요연구

    • sotopologue-selective measurements
    • Analysis of isotope effects at natural abundance
    • Isomer and Tautomer-selective measurements
    • Biomolecular spectroscopy
    • Analysis of reactive species
    • Development of high-resolution time-domain measurements

Institute for Basic Science Center for Multidimensional Carbon Materials

주요연구

    • Synthesis and Study of Carbon-Based Materials
    • Synthetic Macromolecular Chemistry
    • Heterogeneous and Homogenous Catalysts
    • Synthesis and Applications of Stable Carbenes

Molecular Motion Control Lab.

주요연구

    • Study on the interaction between an atom/molecule and various laser fields
    • Controlling molecular motion with laser fields
    • Study on the interaction between an atom/molecule and a solid surface
    • Establishing grazing incidence matter-wave optics

LAMP (Laboratory for Advanced Molecular Probing)

주요연구

    1. Tip-Enhanced Raman Scattering (TERS)

    2. Nanogap-Enhanced Raman Scattering(NERS)

    3. UpConverting Nano Particles (UCNP) and Avalanching Nano Particles (ANP)

주요연구

    • Algorithmic design of homogeneous and heterogeneous catalysts
    • Robotized discovery of atom-efficient reactions for sustainable chemistry
    • Close-loop evolution of functional materials
    • Robotics for studying cascades of chemical and enzymatic reactions
    • Discovery of biologically-active small molecules
    • Theory of chemical reaction networks
    • Light-driven chemical robots

THEORETICAL/COMPUTATIONAL CHEMISTRY GROUP FOR EXCITED STATE PHENOMENA

주요연구

    • 들뜬 상태 동역학, 광합성, 태양전지, 광유도 분자 기계 소자
      (Excited State Dynamics, Photosynthesis, Solarcell, Light-driven molecular machine)
    • 새로운 들뜬 상태 동역학 알고리즘 개발 / Development of an algorithm for excited state molecular dynamics
    • 효율적인 들뜬 상태 양자 계산법 개발 / Development of an efficient method for excited state electronic structure calculations
    • Description of chemical reactions with conical intersections/Conical intersection을 포함하는 화학 반응 묘사
    • 다양한 기능성을 가지는 분자 소자 개발 / Design for multi-functional devices
    • 기계학습 기반 양자 계산 /  Machine learning-based quantum chemical calculation