Publications

+ Equal contribution  ·  * Corresponding author

Journal Articles

Submitted

Automated and Transferable Colorimetric CRISPR Diagnostics via Deep Learning

Kim, H.+, Lee, J.+, Lee, J., Jang, H., Kim, S., Lim, E.-K., Jung, J., Ryu, S.*, & Kang, T.*

Predicting Space Groups of Double Perovskites by LLM with Dynamic Few-Shot Learning

Park, J.+, Lee, I.+, Lee, J., & Ryu, S.*

arXiv

A Multi-Agent Framework for Automated Coarse-Grained Molecular Dynamics of Polymers

Choi, J.+, Lee, J.+, & Ryu, S.*

arXiv

Before You Build a Multi-Agent System: An Escalation Framework for LLM Adaptation

Lee, J., Kim, J.-Y., & Ryu, S.*

engrXiv

An agentic-AI calibrate–diagnose–suggest workflow for soil constitutive model calibration

Choi, Y., Ok, S., Lee, J., Ryu, S.*, & Choo, J.*

Enhancing LLM-based Conditional Material Generation for Double Perovskite through Multi-Agent Feedback and Domain Knowledge

Lee, I.+, Lee, J.+, Park, J., Lim, K.*, & Ryu, S.*

arXiv

2027

J16

A Comprehensive Review of Thermoelectric Power Generators: Advances in Material Discovery, Structural Optimization for Performance Enhancement, and Service Life Stability

Demeke, W.+, Lee, J.+, Lee, I.+, Ryu, B.*, & Ryu, S.*

Renewable and Sustainable Energy Reviews, 244, 117459 (2027)  ·  IF: 18.0, JCR Q1, Top 3.1%

Paper

2026

J15

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

Yu, J.+, Byun, J.+, Moon, H., Lee, J., & Ryu, S.*

Computer Methods in Applied Mechanics and Engineering, 461, 119267 (2026)  ·  IF: 7.6, JCR Q1, Top 2.2%

Paper engrXiv
J14

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

Cho, H., Yu, J., Moon, H., Yoon, J., Lee, J., Park, J., & Ryu, S.*

International Journal of Precision Engineering and Manufacturing – Green Technology, 13, 2555–2569 (2026)  ·  IF: 6.6, JCR Q1, Top 9.2%

Paper SSRN
J13

Reassessing Negative 24 h pH Impedance Tests for Hidden Gastroesophageal Reflux Disease Using Multi Feature Anomaly Detection

Lee, S., Lee, J., Park, D., Lee, S., Cho, J., Lee, K.*, Kim, H.*, & Ryu, S.*

npj Digital Medicine, 9(1), 643 (2026)  ·  IF: 18.0, JCR Q1, Top 0.3%

Paper
J12

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

Kim, J.-Y.+, Lee, S.+, Yu, J., Lee, J., & Ryu, S.*

International Journal of Precision Engineering and Manufacturing, In press  ·  IF: 3.9, JCR Q1, Top 23.9%

10.1007/s12541-026-01546-0 Paper

2025

J11

IM-Chat: A Multi-agent LLM Framework Integrating Tool-Calling and Diffusion Modeling for Knowledge Transfer in Injection Molding Industry

Lee, J.+, Kim, J.+, Kim, H.+, Lee, I., & Ryu, S.*

Journal of Manufacturing Systems, 83, 839–855 (2025)  ·  IF: 14.2, JCR Top 0.7%

10.1016/j.jmsy.2025.11.007 Paper arXiv
Press KAIST News TechXplore THE AI HelloT 로봇신문 전매일보 교수신문 내외일보 워크투데이 ETMM-online Evrim Ağacı
J10

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

Lee, H.+, Moon, H.+, Lee, J.+, & Ryu, S.*

Advanced Intelligent Discovery, e202500107

10.1002/aidi.202500107 arXiv
J9

Interpretability-Driven Deep Learning for SERS-based Classification of Respiratory Viruses

Kang, H.+, Lee, J.+, Lee, S., Jeon, J., Mun, C., Yang, J.-Y., Seo, D., Kwon, H.-J., Lee, I.-C., Kim, S., Lim, E.-K., Jung, J., Jung, Y.*, Park, S.*, Ryu, S.*, & Kang, T.*

Biosensors and Bioelectronics, 289, 117891  ·  IF: 10.5, JCR Top 3.2%

10.1016/j.bios.2025.117891 Paper
J8

Enhanced Energy Harvesting in Rotational Triboelectric Nanogenerator via Gaussian Process Regression-Based Bayesian Optimization

Yoon, J.+, Lee, J.+, Ryu, S.*, & Park, J.*

Nano Energy, 135, 110653  ·  IF: 17.1, JCR Top 7.8%

10.1016/j.nanoen.2025.110653 Paper
Press KAIST ME Dept.
J7

Physics-Informed Machine Learning for Material Characterization: A Perspective on Data-Efficient Discovery through Physics-Informed Neural Networks

Moon, H., Lee, J., Yu, J., & Ryu, S.*

International Journal of AI for Materials and Design, 2(4)

10.36922/IJAMD025440043 Paper

2024

J6

Multiplex Detection of Foodborne Pathogens using 3D Nanostructure Swab and Deep Learning-Based Classification of Raman Spectra

Kang, H.+, Lee, J.+, Moon, J.+, Lee, T.+, Lim, E., Jung, J., Jung, Y., Lee, S., Lee, K.*, Ryu, S.*, & Kang, T.*

Small, 20(35), 2308317  ·  IF: 13.0, JCR Top 10.6%  ·  Front Cover

10.1002/smll.202308317 Paper
J5

Electrode Placement Optimization for Electrical Impedance Tomography using Active Learning

Lee, J., Park, K., Park, K., Kim, Y., Kim, J.*, & Ryu, S.*

Advanced Engineering Materials, 26(11), 2301865

10.1002/adem.202301865 Paper

2023

J4

Machine Learning-based Inverse Design Methods Considering Data Characteristics and Design Space Size in Materials Design and Manufacturing: A Review

Lee, J., Park, D., Lee, M., Lee, H., Park, K., Lee, I., & Ryu, S.*

Materials Horizons, 10, 5436–5456  ·  IF: 13.3, JCR Top 9.8%

10.1039/D3MH00039G Paper
Press KAIST ME Dept.

2022

J3

Deep Neural Network-based Structural Health Monitoring Technique for Real-time Crack Detection and Localization using Strain Gauge Sensors

Yoon, J.+, Lee, J.+, Kim, G., Ryu, S.*, & Park, J.*

Scientific Reports, 12(1), 20204

10.1038/s41598-022-24269-4 Paper

2021

J2

Damage Detection of Composite Materials via IR Thermography and Electrical Resistance Measurement: A Review

Park, K., Lee, J., & Ryu, S.*

Structural Engineering and Mechanics, 80(5), 563–583

10.12989/sem.2021.80.5.563 Paper

2020

J1

Analysis and Evaluation of Path Planning Algorithms for Autonomous Driving of Electromagnetically Actuated Microrobot

Lim, S. H.+, Sohn, S. W.+, Lee, H., Choi, D., Jang, E., Kim, M., Lee, J., & Park, S.*

International Journal of Control, Automation and Systems, 18(11), 2943–2954

10.1007/s12555-019-0637-9 Paper
Conferences
C13

A Multi Agentic LLM-Based Expert System for Injection Molding Process

Lee, J.+, Kim, J.-Y., Kim, H., Lee, I., & Ryu, S.

WCCM-ECCOMAS 2026, Munich, Germany  ·  Oral

C12

LLM-based Knowledge Transfer System for Injection Molding: Implementation and Performance Enhancement

Lee, J., Kim, J., Kim, H., Lee, I., Choi, H., & Ryu, S.*

KSME CAE & Applied Mechanics Conference, 2026  ·  Oral

C11

Multi-Agent Argumentative LLM Framework for Conditional Exploration of Double-Perovskite Materials

Lee, I., Lee, J., & Ryu, S.*

Spring Conference of the Korean Institute of Metals and Materials (KIM), 2025  ·  Oral

C10

Enhancing Knowledge Transfer in Injection Molding Through a Multi-Agent LLM Framework

Lee, J.+, Kim, J.+, Kim, H.+, Lee, I., Park, J., & Ryu, S.*

KSME CAE & Applied Mechanics Conference, 2025  ·  Oral

C9

3D Nanostructure Swab and Deep Learning Analysis of Raman Spectra for Detection of Multiple Foodborne Pathogens

Kang, H.+, Lee, J.+, Moon, J.+, Lee, T.+, Lim, E., Jung, J., Jung, Y., Lee, S., Lee, K.*, Ryu, S.*, & Kang, T.*

KSME Conference, 2024  ·  Oral

C8

Detection of Multiple Foodborne Pathogens Utilizing a Three-dimensional Nanostructure Swab and Deep Learning-based Analysis of Raman Spectra

Kang, H.+, Lee, J.+, Moon, J.+, Lee, T.+, Lim, E., Jung, J., Jung, Y., Lee, S., Lee, K.*, Ryu, S.*, & Kang, T.*

Nano Korea, 2024  ·  Oral

C7

Review of Machine Learning-based Inverse Design Methods in Materials Design and Manufacturing

Lee, J.+, Park, D., Lee, M., Park, K., Lee, H., Lee, I., Lee, I., & Ryu, S.*

KSME CAE & Applied Mechanics Conference, 2024  ·  Poster

C6

Real-time Crack Localization using Strain Gauge Sensors with Deep Learning

Lee, J.+, Yoon, J.+, Kim, G., Park, J.*, & Ryu, S.*

KSME CAE & Applied Mechanics Conference, 2023  ·  Oral

C5

A Deep Learning Approach for Crack Sensing in Structural Health Monitoring using Strain Gauge Sensors

Lee, J.+, Yoon, J.+, Kim, G., Park, J.*, & Ryu, S.*

COSEIK, 2023  ·  Oral

C4

Deep Learning-based Electrode Placement Optimization for Crack Sensing of Carbon-based Composites using Electrode Resistance Tomography

Lee, J., & Ryu, S.*

GRC Additive Manufacturing of Soft Materials, 2022  ·  Poster

C3

Electrode Placement Optimization for Electrical Resistance Tomography using Transfer Learning

Lee, J., Lee, H., & Ryu, S.*

KSME CAE & Applied Mechanics Conference, 2022  ·  Oral

C2

Data-Driven Electrode Placement Optimization for Crack Sensing of Carbon-based Composites using Electrical Resistance Tomography

Lee, J., & Ryu, S.*

KSME CAE & Applied Mechanics Conference, 2021  ·  Oral

C1

Analysis of Path Planning Algorithm for Autonomous Control of Electromagnetically Actuated Microrobot

Choi, D., Jang, E., Kim, M., Lee, J., Lim, S., Sohn, S., Lee, H., & Park, S.*

SMIT2018-IBEC2018 Joint Conference  ·  Poster

Patents
P2

Knowledge Transfer Device and Method using an Agent Based on a Large Language Model

Kim, J., Lee, J., Kim, H., Lee, I., Ryu, S., Nam, K., & Yoon, S.

Filed: KR 10-2025-0145843, 2025

P1

Method and Apparatus for Optimization of Cathode Material Design Multi-objective Bayesian Optimization

Ryu, S., Lee, J., & Park, K.

Filed: KR 10-2023-0172701, 2023