Daegu Gyeongbuk Institute of Science and Technology
DGIST Library Institutional RepositoryNot a member yet
12664 research outputs found
Sort by
마법 크기 반도체 나노클러스터를 이용한 광촉매 수소 생산
No full textmagic-sized clusters, suprastructures, hydrogen evolution reaction, photocatalyst, DFTList of Contents
Abstract i
Ⅰ. Introduction 1
1.1 The necessity of photocatalysts for hydrogen production 1
1.2 Understanding Magic Sized Cluster (MSC) 2
1.3 Utilizing MSC as Photocatalysts for Hydrogen Production 3
II. Results and discussion 5
2.1 A Comprehensive Approach to the Synthesis of Suprastructures 5
2.2 Confirmation of Co2+ Doping in Co²⁺-doped (CdSe)13 Suprastructures 12
2.3 Tauc Plot and UPS-Based Band Alignment in Co2+-Doped (CdSe)13 Clusters 13
2.4 Photocatalytic Hydrogen Evolution in Co2+-Doped (CdSe)13 Suprastructures 17
2.5 Characterization of Chemical and Physical Changes in Co2+-Doped (CdSe)13
Suprastructures 23
2.6 DFT Study of Hydrogen Evolution Reaction in Co2+-Doped (CdSe)13 Clusters
with Bipyridine 29
III. Conclusion 40
IV. Experimental section 41MasterdCollectio
만성구속스트레스 동물 모델에서 인간 텔로머라제 유래 펩타이드의 항우울 효과 분석
No full textDepression, Stress, Microglia, Human telomerase-derived peptide, HPA axisDepression is a common cause of mental illness in the modern world, and the wide variation in symptoms makes it difficult to develop suitable antidepressants. The commonly used serotonin reuptake inhibitors cause many side effects, making it imperative to develop alternative treatments. In this study, we established a mouse model of stress using the chronic restraint stress (CRS) paradigm. We found that the administration of a human telomerase-derived peptide restored cognitive deficits, anxiety-like, and depressive-like behaviors caused by CRS. Stress activates the hypothalamus-pituitary-adrenal (HPA) axis for the production of stress hormones including corticosterone (CORT), and this peptide reduced the increased serum CORT levels, suggesting the suppression of the HPA axis. We also examined microglia morphology and observed that hyper-ramified microglia morphology induced by CRS was restored by administering this peptide. Collectively, our findings suggest that a human telomerase-derived peptide administration successfully rescues anxiety and depressive behaviors and recovers microglia status in CRS mice, providing evidence for a novel antidepressant efficacy of the peptide.|우울증은 현대 사회에서 정신 질환의 흔한 원인이며, 증상의 다양성으로 인해 적절한 항우울제를 개발하는 것이 어렵다. 일반적으로 사용되는 세로토닌 재흡수 억제제는 많은 부작용을 유발하므로 대체 치료법 개발이 필수적이다. 본 연구에서는 만성 구속 스트레스 패러다임을 사용하여 스트레스의 마우스 모델을 확립했다. 인간 텔로머레이스 유래 펩타이드를 투여하면 만성 구속 스트레스로 인한 인지 결손, 불안 유사 및 우울 유사 행동이 회복된다는 것을 발견했다. 스트레스는 코르티코스테론을 포함한 스트레스 호르몬 생성을 위해 시상하부-뇌하수체-부신 축을 활성화하며, 이 펩타이드는 혈청 코르티코스테론 수치의 증가를 감소시켜 시상하부-뇌하수체-부신 축의 억제를 시사한다. 또한 미세아교세포 형태를 조사한 결과, 만성 구속 스트레스에 의해 유도된 미세아교세포 형태의 변화가 이 펩타이드를 투여함으로써 회복되는 것을 관찰했다. 종합적으로, 인간 텔로머레이스 유래 펩타이드 투여가 만성 구속 스트레스 마우스에서 불안 및 우울 행동을 성공적으로 구제하고 미세아교세포 상태를 회복함을 시사하며, 펩타이드의 새로운 항우울제 효능에 대한 증거를 제공한다.Ⅰ. Introduction 1
Ⅱ. Material and methods 4
2.1 Animals 4
2.2 Chronic restraint stress (CRS) and drug treatments 4
2.3 Behavioral assays 4
2.3.1 Sucrose preference test (SPT) 4
2.3.2 Tail suspension test (TST) 4
2.3.3 Nest building test (NBT) 5
2.3.4 Open filed test (OFT) 5
2.3.5 Y-maze test 5
2.4 Corticosterone ELISA 5
2.5 3D imaging analysis of microglia morphology 5
2.6 Statistical analysis 6
Ⅲ. Results 7
3.1 CRS-induced mice show more depressive behavior than WT 7
3.2 Effect of GV1001 on the depressive behavior of mice by concentration 9
3.3 GV1001 restores elevated anxiety and cognitive decline 11
3.4 GV1001 lowers elevated CORT levels due to stress 13
3.5 GV1001 restores the morphology of microglia modified by stress 15
Ⅳ. Discussion 17
Ⅴ. Reference 18
ⅤⅠ. Abstract in Korean 20MasterdCollectio
Electrode/Electrolyte Interface Engineering for Fast-Rechargeable Lithium-Ion Batteries
No full textFast-rechargeable batteries, Li-ion batteries, High concentration electrolytes, Dual-layered electrode, Goldilock SEIList of Contents
Abstract i
List of contents iii
List of tables v
List of figures vi
Chapter 1. Introduction 1
1.1. Necessity of Fast-rechargeable Lithium-ion Battery 1
1.2. About Lithium-ion Batteries 3
1.2.1. Milestones in LIBs Development 3
1.2.2. The Principle of Charging/Discharging Lithium-ion Battery 6
1.2.3. The Charging Mechanism of Graphite anode 9
1.3. Challenges of Fast-rechargeable Lithium-ion Batteries 13
1.4. Several Approaches Toward Improving XFC Performance 17
1.4.1. Electrode Engineering 18
1.4.2. Electrolyte Engineering 20
1.4.3. Interphase (SEI) Engineering 22
1.5. Research Goals 23
1.6. References 25
Chapter 2. Electrode Engineering 35
2.1. Introduction 36
2.2. Experimental Method 38
2.2.1. Electrode preparation 38
2.2.2. Cell assembly 38
2.2.3. Electrochemical Testing 39
2.2.4. Electrode Characterization 39
2.2.5. Computational Analysis 40
2.3. Results and Discussion 41
2.4. Conclusion 59
2.5. References 61
2.6. Supporting Information 72
Chapter 3. Electrolyte engineering 79
3.1. Introduction 80
3.2. Experimental Method 82
3.2.1. Electrolyte Preparation 82
3.2.2. Electrode Preparation 83
3.2.3. Electrochemical Testing 83
3.2.4. Characterization 84
3.2.5. Computational Analysis 85
3.3. Results and Discussion 86
3.4. Conclusion 103
3.5. References 104
3.6. Supporting Information 111
Chapter 4. Interphase engineering 113
4.1. Introduction 114
4.2. Experimental Method 115
4.2.1. Electrolyte preparation 115
4.2.2. Electrode preparation 116
4.2.3. Electrochemical Testing 116
4.2.4. Characterization 117
4.3. Results and Discussion 118
4.4. Conclusion 128
4.5. References 129
4.6. Supporting Information 133
Chapter 5. Concluding Remark 136
5.1. Summarizing Key Features of DLE, LPCE, and “Goldilocks” SEI 137
5.2.1. DLE: Addressing SOC and Overpotential Gradients 137
5.2.2. LPCE: Facilitating Li+ Desolvation and Interfacial Kinetics 137
5.2.3. “Goldilocks SEI”: Inorganic/organic balanced-SEI 138
5.2. Combining Approaches to Determine the Most Effective Strategies 139
5.2.1. XFC cycling with DLE and 3DMC+F Electrolyte 139
5.2.2. Evaluation the Impact of Li⁺ Solvation and SEI Engineering 140
5.3. Perspectives 141
Summary in Korean 144DoctordCollectio
A Review on Cutting-Edge Three-Dimensional Graphene-Based Composite Materials: Redefining Wastewater Remediation for a Cleaner and Sustainable World
Full text linkThree-dimensional (3D) graphene-based composite materials (3D GBCMs) have emerged as promising candidates for addressing critical challenges in water pollution remediation. This review selectively highlights the recent advancements in the application of 3D GBCMs to remove a wide range of contaminants, including heavy metals, dyes, salts, and pharmaceutical residues, from water. They owe their efficacy to their large surface area, interconnected porous structure, and functionalization potential. Three-dimensional GBCMs are promising materials for water filtration, offering capabilities such as heavy metal ion adsorption, the photocatalytic degradation of organic pollutants, and advanced desalination techniques like capacitive deionization (CDI) and solar desalination, thus providing sustainable solutions for obtaining freshwater from saline sources. Additionally, the factors influencing the pollutant removal capacities of 3D GBCMs, such as their material morphology, particle size, and porosity, are briefly discussed. Notably, the effect of the particle size on pollutant removal has not been extensively studied, and this review addresses that gap by exploring it in detail. Future research directions are also proposed, emphasizing the optimization and broader application of 3D GBCMs in environmental remediation. This review aims to provide valuable insights into the design and practical implementation of 3D GBCMs, offering guidance for their continued development in sustainable water treatment. © 2025 by the authors.TRUEscopu
열린 금속 자리의 강한 배위결합을 통한 금속유기구조체의 수분안정성 향상
No full textMetal-Organic Frameworks, Open-Metal-Sites, Strong coordination, XRD, NMRI. INTRODUCTION 1
II. EXPERIMENTAL METHODS & MATERIALS 3
III. RESULTS & DISCUSSION 5
3.1. HK structural features and hypothesis 5
3.1.1. Sample preparation and bonding strength 7
3.1.2. PXRD change and definition of calibrated retention ratio 9
3.1.3. Hydrolytic Stability and Confirmation of Metal-Linker Connectivity 11
3.2. Maintaining crystallinity of MOF due to connectivity of metal and organic ligands 13
3.2.1. Maintaining crystallinity of MOF due to connectivity of metal and organic ligands 15
3.2.2. Structure of HK and the reason for stability up to a coordination ratio of 0.3 16
IV. CONCLUSIONS 18
V. REFERENCES 19MasterdCollectio
코발트(III)-퍼옥소 종의 스핀 상태 및 빛에 의한 반응 메커니즘 연구
No full textBiomimetic chemistry, Cobalt(III)-peroxo species, Nitrile activation, Steric effects, Intramolecular C-H bond activationMetalloenzymes in biological systems utilize dioxygen to perform oxidation reactions with external substrates via various metal-oxygen adducts including metal-superoxo, metal- (hydro)peroxo, and metal-oxo species. However, due to the enormous and complexity of metalloenzymes, investigating their reaction mechanisms is challenging. Therefore, synthetic biomimetic complexes are commonly used to study and elucidate oxidation mechanisms. Recently, metal-peroxo species have gained significant attention for not only nucleophilic reactions but also electrophilic reactions with ambiphilic reactions. In this dissertation, we focus on the mechanistic investigations of oxidative reactions by cobalt(III)-peroxo species. In Chapter 1, two different cobalt(III)-peroxo complexes with distinct spin states were synthesized by controlling the steric effects of the ligands, and their properties were analyzed by various physicochemical methods. The nitrile activation reaction products, hydroximatocobalt(III) complexes, were generated in an S = 1 spin state of cobalt(III)-peroxo complexes. Density functional theory calculations revealed that sterically bulkiness of the ligand induced a weak ligand field, resulting in an S = 1 spin state, and elucidated the mechanism of nitrile activation with cobalt(III)-peroxo complexes. In Chapter 2, the elongation of the O–O bond in the cobalt(III)-peroxo complex was observed through in-situ single-crystal X-ray diffraction analysis under external light irradiation. Furthermore, during the photoirradiation onto cobalt(III)-peroxo complex, the ligand-oxidized cobalt(III)-hydroxo complex was formed by photo-induced intramolecular C–H bond activation, as demonstrated by infrared photodissociation spectroscopy and computational methods. Additionally, the ligand-oxidized cobalt(III)-hydroxo species was found to exhibit hydrogen atom transfer (HAT) reactivity. These findings provide a deeper insight into the oxidation reactions mediated by cobalt(III)-peroxo species, which are expected to lay the groundwork for developing efficient catalysts.
|생체 내 금속 효소는 산소를 이용해 여러 금속-산소 중간체를 형성하며 외부 기질과의 산화 반응을 수행한다. 그러나 금속 효소의 크기와 복잡성으로 인해 반응 메커니즘을 연구하는 데 어려움이 있기에 생체모방화합물을 활용하여 반응 메커니즘 규명 연구를 진행하고 있다. 본 학위 논문에서는 생체모방화합물인 코발트(III)-퍼옥소 종이 수행하는 다양한 산화 반응에서 금속의 스핀 상태와의 연관성과 빛에 의한 반응에 대한 반응 메커니즘을 규명하였다. 제1장에서는 리간드의 입체적 효과를 조절하여 서로 다른 스핀 상태를 가지는 두 종류의 코발트(III)-퍼옥소 착물을 합성하였고, 여러 물리화학적 분석을 통해 그 특성을 비교하였으며, 스핀 상태에 따른 나이트릴 활성 반응 생성물인 코발트(III)-하이드록시메이토 화합물이 형성 여부를 확인하였다. 밀도범함수이론을 통해 리간드의 입체적 부피가 큰 경우 약한 리간드 장 형성으로 인해 S = 1 스핀 상태가 되는 것을 설명하였으며, 이와의 나이트릴 활성 반응 메커니즘을 정리하였다. 제2장에서는 단결정 X선 회절 분석 결과로 빛에 의해서 코발트(III)-퍼옥소 화합물의 산소-산소 결합 길이가 늘어나는 과정을 관찰했다. 용매 조건하에서 빛에 의해 내부 탄소-수소 결합 활성화된 코발트(III)-하이드록소종이 생성되는 것을 계산화학과 적외선 분광법을 활용한 결합 세기 실험을 통해 확인했다. 또한, 빛에 의해 생성된 코발트(III)-하이드록소종은 수소 원자 이동 반응성을 보였다. 이러한 연구 결과들은 코발트(III)-퍼옥소 종의 산화 반응에 대한 반응 메커니즘을 규명하여 고효율 촉매의 기초가 될 것으로 기대된다.Abstract i
General Introduction 1
Chapter 1. Controlling Reactivity through Spin Manipulation: Steric Bulkiness of
Peroxocobalt(III) Complexes 12
1.1. Abstract 12
1.2. Introduction 14
1.3. Results and Discussion 17
1.4. Conclusion 91
1.5. Experimental Section 92
1.6. References 102
Chapter 2. Investigation of Photo-induced O–O Bond Cleavage in Peroxocobalt(III)
Complex using In-situ SC-XRD Technique toward Intramolecular C–H Bond
Activation 110
2.1. Abstract 110
2.2. Introduction 111
2.3. Results and Discussion 113
2.4. Conclusion 138
2.5. Experimental Section 139
2.6. References 143
Concluding Remarks 148DoctordCollectio
다중 윤곽선 인식 SAM: 조직학 이미지 세포핵 인스턴스 분할을 위한 다중 윤곽선 유도 SAM
No full textComputational Pathology, Pathology Image Analysis, Nuclei Instance Segmentation, Foundation Segmentation ModelOne of foremost process for analyzing diseases in digital pathology is precise segmentation of nuclei from the tissue and other artifacts. Recent achievements from the segmenta- tion foundation model, segment anything model (SAM), in natural domain shows the potential solution in medical domain downstream tasks. However, the applications to nuclei instance segmentation task with SAM still go through low performance in terms of separation of clustered and high variance shaped nuclei. To overcome this problem of densely clustered and high variance shaped nuclei, we propose the Multi Contour-Aware SAM (MCA-SAM). With gradually converging contour layer mask while preserving each nucleus shape, hybrid PEFT adaptation layer and auxiliary nuclei counting task is unified with the segmentation foundation model, SAM. By fully utilize the implicit information inside the multi contour layer mask approach, our MCA-SAM have precise recognition of nucleus shape, nucleus center and each nucleus boundary from disturbing artifacts. Extensive experiment results show and support the superiority MCA-SAM on various datasets compared to previous methods.
Keywords: Computational Pathology, Pathology Image Analysis, Nuclei Instance Segmentation, Foundation Segmentation Model|디지털 병리학에서 질병을 분석하는 가장 중요한 프로세스 중 하나는 조직 및 기타 인공물에서 세포핵을
정밀하게 분할하는 것이다. 기존의 제안된 다중 분기 디코더 기반 세포핵 인스턴스 세분화방법들은 세포핵의
다른 표현형 맵(세포핵 타입 맵, 수직 거리맵, 수평 거리맵, 각도맵, 등...)을 상응하는 잘 디자인된 디코더
를 이용하여 예측한다. 해당 방법론은 각 디코더의 출력물을 개별 후처리 방법으로 정제한 뒤, 통합하는
과정을 거쳐 최종적인 세포핵 인스턴스 세분화를 진행하므로, 개별적인 후처리 단계에서 하이퍼파라미터
(hyperparameter) 선택에 따라 민감하게 반응하며, 후처리 단계의 하이퍼파라미터 조합에 따라 최종 결과물
의 품질이 매우 다를 수 있는 단점이 존재한다. 최근, 세분화 기반모델인 Segment Anything Model (SAM)
의 개발로 기반모델 훈련에 사용된 다양한 분야의 이미지에서 학습된, 즉, 수 많은 데이터로 사전학습된
지식을 의료영상 다운스트림(downstream) 작업에 적용하여 성능을 끌어올리는 움직임이 존재하였다. 게
다가, 자연 영역에서 SAM의 최근 성과는 의료 영역 downstream 작업의 잠재적 해결가능성을 보여주었다.
그러나, SAM을 응용한 세포핵 인스턴스 세분화 downstream 작업은 모여있는 핵과 형상의 불일관성이 큰
핵의 분리 측면에서 여전히 낮은 성능을 보인다. 또한, 자연영역과 매우 다른 병리학 영역의 이미지는 SAM
의 사전학습에 사용되지 않았기 때문에, 사전지식과 매우 이질적인 병리학 이미지를 세분화 하는 작업에
바로 적용할 수 없다는 연구들이 발표되었다.
우리는 밀집되어 있고 형상의 변동성이 높은 형태의 세포핵을 인스턴스 세분화하는 문제를 해결하기 위해
MCA-SAM(Multi Contour-Aware SAM)을 제안한다. 각 핵 모양을 유지하면서 점진적으로 핵의 중앙 윤곽
선으로 수렴하는 다중 윤곽선 마스크 기반 SAM 모델 훈련을 바탕으로 하이브리드 (hybrid) PEFT 방법과,
염색 영상정보 주의 방법, 보조 세포핵 계수 작업을 통합한다. 다중 윤곽선 마스크에서 찾을 수 있는 암시적
정보인 개별 세포핵의 형상을 유지하며 중심으로 수렴하는 경계선-중심 정보는 다른 방법론에서 모두 간과한
세포핵의 갯수 정보를 보조 계수 작업으로 이용하여 기반모델의 훈련에 사용하였다. 또한, SAM의 기반이
되는 비전 트랜스포머 구조 (ViT) 의 근본적인 문제로 지적되는 주변 패치 (patch) 들 간의 낮은 상호작용
성을 컨볼루션 보조 하이브리드 PEFT 방법으로 개선한다. 마지막으로, 병리학적 분석에 사용되는 염색된
조직영상에서 세포핵과 다은 조직구성 요소를 컬러 디컨볼루션 (color deconvolution)으로 분리하여, 분리된
염색 영상정보를 염색 주의 모듈(stain attention module)에 공급하여 세포핵 포착성능을 개선한다. 이러한
방법들과 다중 윤곽선 마스크 접근 방식의 내부의 암시적 정보를 최대한 종합하여 MCA-SAM은 세포핵이
아닌 교란 아티팩트로부터 핵 모양, 핵 중심 및 각 핵 경계를 정확하게 인식한다.
모두 여섯가지 공개된 데이터셋 (MoNuSeg, CoNSeP, CPM17, TNBC, PanNuKe, Lizard)을 사용하여 제
안된 방법을 평가하였다. 다양한 장기 조직에서 가져온 염색영상에서 볼 수 있는 다양한 형상의 세포핵을
인스턴스 세분화 하는 작업에서 MCA-SAM은 이전에 제안된 여러 최신 방법론들의 성능을 뛰어넘는 결과를
보여주었다. 다양한 데이터셋에서 실험된 광범위한 실험 결과는 이전 방법론에 비해 MCA-SAM의 우수성을
보여준다.
핵심어 : 디지털 병리학, 병리학 영상 분석, 세포핵 인스턴스 분할, 기반 세분화 모델I. INTRODUCTION 1
II. RELATED WORKS 3
1 Nuclei Instance Segmentation 3
2 Segment Anything Model on Pathology Image Segmentation 4
III. Method 6
1 Overall framework of MCA-SAM 7
2 Multi-Contour Layer Mask Generation 8
3 Hybrid Parameter-Efficient Fine-Tuning (PEFT) block 10
4 Stain Attention 11
5 Multi-Contour SAM Decoder and Instance Count 12
5.1 Auxiliary Instance counting 13
5.2 Multi-Contour SAM Decoder 14
IV. RESULTS 16
1 Dataset 16
2 Implementation details 17
3 Evaluation Metrics 17
4 Experimental Results 18
4.1 Comparison with State-Of-The-Art Methods 18
4.2 Ablation study of MCA-SAM 20
4.3 Effect of the number of contour layer 22
4.4 Cross-domain instance segmentation 22
4.5 Large scale dataset generalization 24
V. CONCLUSION 27
References 28MasterdCollectio
분자 동역학 시뮬레이션과 공진화 접근법을 활용한 CB1-G 단백질 활성화 메커니즘 이해
No full textCB1, GPCR, MD simulationⅠ. General introduction 1
1.1 G-protein coupled receptor (GPCR) 1
1.2 Cannabinoid receptor type 1 (CB1) 1
1.3 Molecular dynamics simulation 2
1.4 Aim of the research 3
PART Ⅰ. Understanding the role of the CB1 toggle switch in interaction networks using molecular dynamics simulation 5
Ⅰ. Introduction 5
1.1 Introduction: Toggle switch 5
Ⅱ. Method 8
2.1 Molecular dynamics simulation 8
2.1.1 Preparation of ligand-bound CB1 complex structure 8
2.1.2 System building and toggle switch mutation 8
2.1.3 Molecular dynamics simulation 8
2.2 Analysis of the MD simulation trajectory 9
2.2.1 CB1 substructure analysis 9
2.2.2 Calculating energy network 12
2.2.3 Visualization 12
Ⅲ. Results 13
3.1 Toggle switch-dependent molecular dynamics of the CB1 13
3.2 The change of helical orientations by toggle switch mutation 17
3.3 Analysis of interaction among CB1 helices and loops 22
3.4 The residual interaction network around Na+ pocket and extracellular loop 24
Ⅳ. Discussion 31
4.1 Discussion 31
PART Ⅱ. Elucidation molecular mechanism of activation CB1-G protein complex using MD simulation and Coevolution approach 37
Ⅰ. Introduction 37
1.1 Introduction: CB1-G protein 37
1.2 Statistical coupling analysis (SCA) 38
Ⅱ. Method 39
2.1 Molecular dynamics simulation 39
2.1.1 CB1-G protein complex structure preparation 39
2.1.2 Hetero molecule and Membrane system building 39
2.1.3 Molecular dynamics simulation 40
2.2 Analysis of the MD simulation trajectory 41
2.2.1 CB1-Gprotein structure analysis 41
2.2.2 Calculating energy network 44
2.2.3 Visualization 44
2.3 Statistical Coevolution Analysis 44
Ⅲ. Results 46
3.1 Structural dynamics of closed and open CB1-G protein complex 46
3.2 Difference residual interaction within CB1-G protein complex 50
3.2.1 Different interaction network of CB1 between closed and open complex 50
3.2.2 Different interaction network of closed and open Gα protein 55
3.3 Dynamic interaction change around GDP region in closed Gα protein 60
3.4 Identifying functional domains of Gα protein by SCA approach 64
Ⅳ. Discussion 70
4.1 Discussion 70DoctordCollectio
Magnetic Field Imaging of Fault-Simulated Li-ion Batteries for Diagnostic Purposes
No full textLi-ion batteries, Battery diagnosis, Fault-simulated batteries, Magnetic field imaging, Current distributionList of Contents
Abstract i
List of contents ii
List of table iii
List of figures iv
Ⅰ. Introduction 1
1.1. Principles of Li-ion batteries 1
1.2. Growing importance of safety of LIBs 1
1.3. Imaging techniques for diagnosing battery failures 2
1.4. Research goal 4
II. Experimental Method 5
2.1. Pouch cell assembly 5
2.2. Electrochemical cell testing 6
2.3. MFI analysis 6
2.4. Current distribution map imaging 7
2.5. Characterizations 7
2.6. Computational method 8
III. Result and Discussion 10
3.1. MFI analysis of current-carrying 1D, 2D objects 10
3.2. MFI analysis of pouch cells and current flow patterns 12
3.3. MFI study of fault-simulated batteries (FSBs)· 13
3.4. MFI offset method using counter wise current flowing plate 15
IV. Conclusion 17
References 36
Summary in Korean 39MasterdCollectio