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Seunghwa Ryu

Professor

Korea Advanced Institute of Science and Technology

South Korea

Research Interests

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Professors in South Korea

Articles (40)

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Collaborators (8)

Sukkyung Kang

Assistant Professor

Hanyang University

SOUTH KOREA

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Youngu Lee

Professor

Daegu Gyeongbuk Institute of Science and Technology

SOUTH KOREA

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Julia Greer

California Institute of Technology

UNITED STATES

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Dennis Meier

Professor

Norwegian University of Science and Technology

NORWAY

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Patrycja Paruch

University of Geneva

SWITZERLAND

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Sangryun Lee

Assistant Professor

Ewha Womans University

SOUTH KOREA

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Hyungcheoul Shim

Assistant Professor

University of Ulsan

SOUTH KOREA

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Grace X. Gu

UNITED STATES

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Seunghwa Ryu

Research Interests

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Articles (40)

A comprehensive review of thermoelectric power generators: Advances in material discovery, structural optimization for performance enhancement, and service life stability

Nanoscale frictional imaging of ferroelectric domains

Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning

Inverse design of nacre-inspired composites with coupled multiphysics fields via diffusion model

Dual-Constrained Diffusion Model for Nonlinear Microstructure Inverse Design with Direct Evaluation

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Uncertainty-aware structure–property mapping of spinodoid metamaterials via heteroscedastic Gaussian process regression

Real-Time Structural Health Monitoring with Bayesian Neural Networks: Distinguishing Aleatoric and Epistemic Uncertainty for Digital Twin Frameworks

Measurement-Informed Deep Learning for Real-Time Monitoring of Hydrodynamic Drying Dynamics in Inkjet-Printed Display Pixels via Low-Resolution Imaging

Morphology-, noise-, and resolution-robust ultrasound elasticity imaging with Fourier neural operator

Federated Learning for Privacy-Preserving Quality Prediction in the Globalized Plastic Injection Molding Industry

DRL-based injection molding process parameter optimization for profit-aware adaptive process control

Enhancing elastic energy focusing in multimode strain regions via Bayesian optimization of gradient-index phononic crystals for energy harvesting

Coarse-Grained Modeling of P3HT:SBS Blends for Stretchable Organic Semiconductors

Optimizing chamber systems for deposition processes in the semiconductor industry with deep learning framework: tackling small simulation datasets

An Energy‐Based Physics‐Informed Computational Framework for Forward and Inverse Flexoelectric Problems

Comparative assessment of composition- and structure-based surrogate models across 2D materials databases

Data-free physics-informed inverse programming of bistable kirigami energy landscapes

Inverse design of thermally active composite via policy-transferred reinforcement learning

Surface-based stress tomography of architected metamaterials via physics-constrained generative learning

Deep generative spatiotemporal learning for integrating fracture mechanics in composite materials: inverse design, discovery, and optimization

Mean-field homogenization of liquid metal elastomer composites: comparative study and exact dilute solution of core–shell inclusion

Enhancing Injection Molding Optimization for SFRPs Through Multi‐Fidelity Data‐Driven Approaches Incorporating Prior Information in Limited Data Environments

Comparative Study of Multi‐objective Bayesian Optimization and NSGA‐III based Approaches for Injection Molding Process

Comprehensive correlation analysis of electromechanical behavior in high-stretchable carbon nanotube/polymer composites

Electrode Placement Optimization for Electrical Impedance Tomography Using Active Learning

Innovative 3D printing of mechanoluminescent composites: Vat photopolymerization meets machine learning

Ultrastrong and Deformable Aluminum-Based Composite Nanolaminates with Transformable Binary Intergranular Films

Optimization of grid composite configuration to maximize toughness using integrated hierarchical deep neural network and genetic algorithm

Correction to “Multimodal E-Textile Enabled by One-Step Maskless Patterning of Femtosecond-Laser-Induced Graphene on Nonwoven, Knit, and Woven Textiles”

Designing directional adhesive pillars using deep learning-based optimization, 3D printing, and testing

K-nanomechanics: advancements and applications of atomistic simulations in the Korean solid mechanics community

Multimodal E-Textile Enabled by One-Step Maskless Patterning of Femtosecond-Laser-Induced Graphene on Nonwoven, Knit, and Woven Textiles

Expanding Design Spaces in Digital Composite Materials: A Multi‐Input Deep Learning Approach Enhanced by Transfer Learning and Multi‐kernel Network

Free-form optimization of pattern shape for improving mechanical characteristics of a concentric tube

Computational experiments for predicting intrinsic wetting characteristics

Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review

Multi-objective Bayesian optimization for the design of nacre-inspired composites: optimizing and understanding biomimetics through AI

Universal assembly of liquid metal particles in polymers enables elastic printed circuit board

A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites

Collaborators (8)

Sukkyung Kang

Youngu Lee

Julia Greer

Dennis Meier

Patrycja Paruch

Sangryun Lee

Hyungcheoul Shim

Grace X. Gu

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