Mingyu Lee

ORCID: 0009-0007-9594-0837
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About
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Research Areas
  • Advanced Multi-Objective Optimization Algorithms
  • Probabilistic and Robust Engineering Design
  • Optimal Experimental Design Methods
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Industrial Vision Systems and Defect Detection
  • Manufacturing Process and Optimization
  • Additive Manufacturing and 3D Printing Technologies
  • Conducting polymers and applications
  • Anomaly Detection Techniques and Applications
  • Topology Optimization in Engineering
  • Advanced Sensor and Energy Harvesting Materials
  • Image Processing and 3D Reconstruction
  • Tissue Engineering and Regenerative Medicine
  • Nanoplatforms for cancer theranostics
  • MXene and MAX Phase Materials
  • Smart Grid Security and Resilience
  • Molten salt chemistry and electrochemical processes
  • Electric and Hybrid Vehicle Technologies
  • Machine Learning in Materials Science
  • Security and Verification in Computing
  • Hearing Impairment and Communication
  • Graphene and Nanomaterials Applications
  • Hand Gesture Recognition Systems

Korea Advanced Institute of Science and Technology
2020-2024

Chung-Ang University
2024

Gwangju Institute of Science and Technology
2018-2024

Daegu Gyeongbuk Institute of Science and Technology
2022-2024

Gachon University
2023

Myocardial infarction (MI) is a major cause of death worldwide. After the occurrence MI, heart frequently undergoes serious pathological remodeling, leading to excessive dilation, electrical disconnection between cardiac cells, and fatal functional damage. Hence, extensive efforts have been made suppress remodeling promote repair infarcted heart. In this study, we developed hydrogel patch that can provide mechanical support, conduction, tissue adhesiveness aid in recovery an function....

10.1021/acsnano.3c00933 article EN ACS Nano 2023-06-20

Abstract Bioelectrodes have been developed to efficiently mediate electrical signals of biological systems as stimulators and recording devices. Recently, conductive hydrogels garnered great attention emerging materials for bioelectrode applications because they can permit intimate/conformal contact with living tissues tissue‐like softness. However, administration control over the in vivo lifetime bioelectrodes remain challenges. Here, injectable (ICHs) tunable degradability implantable are...

10.1002/smll.202300250 article EN Small 2023-02-24

The “marionette” effect of various diluents in localized-high-concentration electrolytes subtly controls solvent and additive interactions refines interfacial chemistry for enhancing Li-ion battery performance, particularly extreme conditions.

10.1039/d4ta02103g article EN Journal of Materials Chemistry A 2024-01-01

Abstract Combinatorial immuno‐cancer therapy is recognized as a promising approach for efficiently treating malignant tumors. Yet, the development of multifunctional nanomedicine capable precise tumor targeting, remote activation, and immune‐regulating drug delivery remains significant challenge. In this study, nanoparticles loaded with an immune checkpoint inhibitor (JQ‐1) using polypyrrole/hyaluronic acid (PPyHA/JQ‐1) are developed. These offer active photothermal ablation near‐infrared...

10.1002/adhm.202304093 article EN Advanced Healthcare Materials 2024-02-27

10.1016/j.cma.2023.116456 article EN Computer Methods in Applied Mechanics and Engineering 2023-10-12

Abstract Tire tread patterns have played an important role in the automotive industry because they directly affect automobile performances. The conventional pattern development process has successfully produced and manufactured many tire patterns. However, a conceptual design process, which is major part of whole still time-consuming due to repetitive manual interaction works between designers engineers. In worst case, must be performed again from beginning obtain required results. this...

10.1115/1.4053469 article EN Journal of Mechanical Design 2022-01-07

Abstract Injection molding is one of the dominant methods for mass‐producing short fiber reinforced plastics renowned their exceptional specific properties. In utilization such composite components, optimization process parameters significantly influences material characteristics and part performance. However, in industrial practice, this often relies on intuition iterative experimentation. Prior studies have introduced data‐efficient but faced limitations adopting minor variations product...

10.1002/adts.202400130 article EN Advanced Theory and Simulations 2024-05-25

10.1109/cvpr52733.2024.02504 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024-06-16

With the increasing popularity of battery‐powered mobility, ensuring safety and reliability Li‐ion batteries (LIBs) has become critical for manufacturers. Despite advanced manufacturing processes large‐scale cells, “latent defects” still unintentionally appear, due to imbalanced battery design, invisible faults, extreme operating conditions. These defects cause performance degradation can even lead fires. Hence, early detection latent defects, along with understanding influence cell...

10.1002/smsc.202300063 article EN cc-by Small Science 2023-10-08

Abstract Multi-fidelity (MF) surrogate modeling has been used to a variety of situations in the last few decades. The MF model integrates data from different levels fidelity enhance efficiency modeling. However, majority research conducted regression settings, which tries approximate continuous responses, and studies have focused on classification problems with discrete target responses. Furthermore, none them considered dataset, contains types responses together. In this paper, hierarchical...

10.1115/detc2023-110455 article EN 2023-08-20

The estimation of fundamental properties in quantum information theory, including von Neumann entropy, R\'enyi Tsallis relative trace distance, and fidelity, has received significant attention. While various algorithms exist for individual property estimation, a unified approach is lacking. This paper proposes methodology using Layerwise Quantum Convolutional Neural Networks (LQCNN). Recent studies exploring parameterized circuits face challenges such as barren plateaus complexity issues...

10.48550/arxiv.2401.07716 preprint EN cc-by arXiv (Cornell University) 2024-01-01
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