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SEOUL NATIONAL UNIVERSITY

AI-driven Simulation and Design Lab

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OUR RESEARCH

Research Highlight

Harnessing a paper-folding mechanism for reconfigurable DNA origami

The paper-folding mechanism has been widely adopted in building of reconfigurable macroscale systems because of its unique capabilities and advantages in programming variable shapes and stiffness into a structure. However, it has barely been exploited in the construction of molecular-level systems owing to the lack of a suitable design principle, even though various dynamic structures based on DNA self-assembly have been developed. Here we propose a method to harness the paper-folding mechanism to create reconfigurable DNA origam…

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Tech for Good: Origami folding at a nanoscale

CNN's Kristie Lu Stout travels to Seoul National University in South Korea where a student, Myoungseok Kim, discovered a new way of folding already folded DNA; in essence, origami of DNA origami. DNA Origami as a field has been around since 2006. It applies short strands (known as staples) programmed with specific bases along a long single strand of DNA, folding them according to the base bonds to make all types of shapes. Previously, DNA origami could only fold once, but by modeling DNA structures after paper creases, Kim and his pro…

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Supercomputer-Assisted Simulation Research on DNA Origami Structures

To understand the interactions and binding phenomena within DNA material, extensive computational simulations utilizing supercomputers are necessary. Utilizing the 5th generation supercomputer, Nurion, we present research that employs massive calculations to model the formation, binding, and folding of DNA megastructures, as well as the technology of DNA origami.

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OUR PUBLICATION

Publication

  • Density-based topology optimization using a deformable mesh

    Kyusoon Jung and Do-Nyun Kim

    , Computers & Structures, 316: 107879, 2025

  • Interpolation Mesh-Graph Net using disconnected spatial graphs of higher order element based meshes

    Jozsef Adam Sebestyen and Do-Nyun Kim

    , Engineering Applications of Artificial Intelligence, 159, Part C: 111535, 2025

  • Accelerating continuum-based protein dynamics simulation using three-dimensional mixed overlapping element

    Giseok Yun and Do-Nyun Kim

    , Computers in Biology and Medicine, 190: 110114, 2025

  • Mechanical meta-sheets with independently tunable Poisson’s ratio and coefficient of thermal expansion

    *Duhwan Kang, *Jeong Min Hur, and Do-Nyun Kim

    , Materials & Design, 244: 113187, 2024

  • Rapid estimation of residual stress in composite laminates using a deep operator network

    Seung-Woo Lee, Teubes Christiaan Smit, Kyusoon Jung, Robert Grant Reid, and Do-Nyun Kim

    , Composites Part B: Engineering, 299: 112409, 2025

  • Predicting the effect of binding molecules on the shape and mechanical properties of structured DNA assemblies

    Jae Young Lee, Yanggyun Kim, and Do-Nyun Kim

    , Nature Communications, 15: 6446, 2024

  • DNA hydrogels with programmable condensation, expansion, and degradation for molecular carriers

    Kyounghwa Jeon, Chanseok Lee, Jae Young Lee, and Do-Nyun Kim 

    , ACS Applied Materials & Interfaces, 16: 24162–24171, 2024

  • Data-driven nonparametric identification of material behavior based on physics-informed neural network with full-field data

    Iksu Jeong, Maenghyo Cho, Hayoung Chung, and Do-Nyun Kim 

    , Computer Methods in Applied Mechanics and Engineering, 418: 116569, 2024

  • Adversarial deep energy method for solving saddle point problems involving dielectric elastomers

    *Seung-Woo Lee, *Chien Truong-Quoc, Youngmin Ro, and Do-Nyun Kim 

    , Computer Methods in Applied Mechanics and Engineering, 421: 116825, 2024

  • Accelerating topology optimization using deep learning-based image super-resolution

    *Jaekyung Lim, *Kyusoon Jung, Youngsuk Jung, and Do-Nyun Kim 

    , Engineering Applications of Artificial Intelligence, 133: 108370, 2024

  • Prediction of DNA origami shape using graph neural network

    *Chien Truong-Quoc, *Jae Young Lee, Kyung Soo Kim, and Do-Nyun Kim 

    , Nature Materials, 23: 984-992, 2024

  • A computational model for structural dynamics and reconfiguration of DNA assemblies

    Jae Young Lee, Heeyuen Koh, and Do-Nyun Kim 

    , Nature Communications, 14: 7079, 2023

AISDL NEWS

Latest News

  • NEWS

    Dr. Sehyeon Kang joined AISDL for his postdoctoral training. Welcome!

    2026.03.02

  • NEWS

    Seoeon, Junwoo, Taehyeon, Siwon, Dongha, and Seunghyuk joined AISDL for their graduate studies. Welcome!

    2026.03.02

  • NEWS

    Kyusoon successfully defended his doctoral dissertation. Congratulations!

    2025.11.20

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