Multiscale Mechanics Lab
Multiscale Mechanics Lab
KAIST · Mechanical Engineering
Professor
Prof. 유승화
Professor's page · publicationsAbout
유승화 교수가 이끄는 AiM4 Lab(지능형 설계 및 제조 연구실, Laboratory for AI-powered Modeling in Mechanics, Materials, and Manufacturing)은 인공지능과 고체역학·재료과학·멀티피직스 모델링을 결합하여 지능형 공학 시스템을 개발한다. 물리정보 기계학습(PIML), AI 대리모델 기반 역설계, 아키텍처드 구조 설계, 제조공정 최적화 등을 연구하며, 데이터 효율적이고 적응적인 모델링 기법을 추구한다.
Research keywords
Recent papers
- Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active LearningAdvanced Science · Oct 4
- Differentiable FEM versus PINN for pavement layer inverse analysis: enforcing physics as hard or soft constraintsNewComputer-Aided Civil and Infrastructure Engineering · Oct 1
- A comprehensive review of thermoelectric power generators: Advances in material discovery, structural optimization for performance enhancement, and service life stabilityNewRenewable and Sustainable Energy Reviews · Sep 11
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- Physics-Informed Neural Operators for Generalizable and Label-Free Inference of Temperature-Dependent Thermoelectric Propertiesnpj Computational Materials · 2025
- Design of Auxetic Metamaterial for Enhanced Low Cycle Fatigue Life and Negative Poisson's Ratio through Multi-objective Bayesian OptimizationMaterials & Design · 2025
- IM-Chat: A Multi-agent LLM-based Framework for Knowledge Transfer in Injection Molding IndustryJournal of Manufacturing Systems · 2025
- Deep Generative Spatiotemporal Learning for Integrating Fracture Mechanics in Composite MaterialsMaterials Horizons · 2024
- Machine learning-based inverse design methods considering data characteristics and design space sizeMaterials Horizons · 2023
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Machine Learning in Materials Science
Materials Theory Group
Yonsei University · Materials Science and Engineering
Building a Physics-Aware AI Ecosystem for Solid-State Hydrogen Storage MaterialsACS Energy Letters · Aug 14Biochemical Engineering Lab
KAIST · Chemical and Biomolecular Engineering
Workflow design as a research variable in computational materials discoveryPreprintChemRxiv · Aug 31Byeong-Joo Lee
POSTECH · Materials Science and Engineering
Machine learning-accelerated calculation of diffusion coefficients in crystalline structures from molecular dynamicsComputational Materials Science · Sep 11
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