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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

Semiconductor Photonics and Electronics Lab. (SPELL) Prof. Kim, Hobeom

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Research Fields
  • Synaptic devices such as memristors
  • Inorganic thin-film sensors including strain, temperature, light, and humidity
  • Inorganic thin-film sensors including strain, temperature, light, and humidity
  • Integration technologies on deformable substrates for conformable electronic systems

SMART Metallization Lab. Prof. Yeon, Hanwool

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Research Fields
  • Synaptic devices such as memristors
  • Inorganic thin-film sensors including strain, temperature, light, and humidity
  • Inorganic thin-film sensors including strain, temperature, light, and humidity
  • Integration technologies on deformable substrates for conformable electronic systems

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.

Sustainable Energy and Electronic Devices Lab.(SEED) Prof. Lee, Sanghan

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Research Fields
  • Advanced Thin Film Engineering for energy / electronic devices
  • Green hydrogen production and high-value substances synthesis using solar energy
  • Fabrication of In-Memory computing devices and measurement of memory characteristics
  • Chemiresistive gas sensor for harmful / exhale gas detection

Computational Materials Science 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

Nucleic Acids Design Studio Lab. Prof. Choi, Yeongjae

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Research Fields
  • Big data storage (DNA Memory)
  • Manipulate matters that humankind cannot reach (Nano-Micro Robotics)
  • DNA Synthesis (Vaccine production)

Intelligent Materials and Devices Lab. Prof. Ha, Minjeong

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Research Fields
  • Design of micro/nano-structural materials with surface engineering
  • Development of printable composites for compliant electronics and sensors
  • Development of 4D printing and programmable materials for soft actuators
  • Development of stretchable interconnectors, flexible energy harvesting devices, and AI-powered feedback loop for system integration
  • Human augmentation applications for bio-signal monitoring and physical enhancements