발행물

전체 논문

318

1

Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review
Junhyeong Lee, Donggeun Park, Mingyu Lee, Hugon Lee, Kundo Park, Ikjin Lee, Seunghwa Ryu
Materials Horizons 10, 2023

2

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy
Hugon Lee, Hyeongbin Moon, Junhyeong Lee, Seunghwa Ryu
1970

3

Physics-informed neural network framework for solving forward and inverse flexoelectric problems
Hyeonbin Moon, Donggeun Park, Jinwook Yeo, Seunghwa Ryu
1970

4

Physics-Informed Neural Operators for Generalizable and Label-Free Inference of Temperature-Dependent Thermoelectric Properties
Hyeonbin Moon, Songho Lee, Wabi Demeke, Byungki Ryu, Seunghwa Ryu
1970

5

Physics-Informed Neural Network-Based Discovery of Hyperelastic Constitutive Models from Extremely Scarce Data
Hyeonbin Moon, Donggeun Park, Hanbin Cho, Hong-Kyun Noh, Jae Hyuk Lim, Seunghwa Ryu
1970

6

LLM-Based Multi-Agent Framework with Diffusion-Aided Design Generation for Injection Molding Process Optimization
Junhyeong Lee, Joon-Young Kim, Heekyu Kim, Inhyo Lee, Seunghwa Ryu*
1970

7

A Self-Correcting Multi-Agent Framework for Language-Based Physics Simulation and Explanation
Donggeun Park, Hyeonbin Moon, Seunghwa Ryu*
1970

8

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production
Joon-Young Kim†, Jecheon Yu†, Heekyu Kim, Seunghwa Ryu
1970

9

Data-driven Design of Isotropic and High-Stiffness TPMS-based Amorphousness-Induced Architected Material (TAAM)
Minwoo Park†, Junheui Jo†, Seunghwa Ryu*
1970

10

Interpretability-Driven Deep Learning for SERS-Based Classification of Respiratory Viruses
Hyunju Kang†, Junhyeong Lee†, Soo Hyun Lee, Jinhyeok Jeon, ChaeWon Mun, Jun-Yeong Yang, Hyung-Jun Kwon, In-Chul Lee, Sunjoo Kim, Eun-Kyung Lim, Juyeon Jung, Yongwon Jung*, Seunghwa Ryu*, Sung-Gyu Park*, Taejoon Kang*
1970