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AI

AI
AI

New materials have always advanced our understanding about Nature around us and greatly improved the quality of our lives. However, developing a new material is an extremely time- and cost-consuming process due to vast search space and nontrivial optimization of materials properties. Artificial intelligence (AI) can expedite this task by rapidly exploring the materials space. This is made possible through establishing a close relationship between materials properties and structure. The AI research groups in SMSE at GIST aim to accelerate the design process by constructing and properly training AI models.

Functional Protein Engineering Lab. (FPEL) Prof. Kwon, Inchan

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Research Fields
  • Developing long acting therapeutic proteins for gout and type II diabetes treatment
  • Computational design of therapeutic proteins and enzymes
  • Protein/Polymer-based nanomaterials for drug delivery and nanoreactors
  • Biocatalytic utilization of CO2 and gas wastes (carbon recycling/carbon neutral)
  • Bioadsorbent for recovery of rare earth elements from industrial wastes

Bio-Electronics Materials Lab. (BEMs) Prof. Yoon, Myung-Han

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Research Fields
  • Developing solution-processed organic and organic-inorganic hybrid devices
    (e.g., transistors, electro actuators, super capacitors, photovoltaics)
  • Developing transistor based biosensors and bio-electronic interfaces
  • Modulating cellular activity via surface chemistry and 3-D shape of soft nano-/micro-structures with external electrical/chemical stimuli
  • Mimicking biological organs via biopolymer based nanoscale scaffolds.
  • Controlling interaction between electronic materials and electrogenic cellular systems
    (e.g., neurons, cardiac cells)
  • Developing metal oxide based nanostructure for harvesting sustainable energies.

Functional Nanostructures and Nanoelectronics Lab. (FNNL) Prof. Lee, Sanghan

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Research Fields
  • Growth of superconductor epitaxial thin film and artificially engineered superlattice
  • Emerging properties at the interface of oxides-bilayer
  • Synthesis and characterization of 2D emerging materials
  • Photo-electrode for energy application

Condensed Matter and mAterials Theory Lab. (CMAT) Lee, Joo-Hyoung

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Research Fields
  • AI-driven materials design
  • Computational materials science
  • Renewable energy conversion/storage materials
  • 2-D materials and computational metallurgy