# Haechang Kim

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/haechang-kim/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4 |
| Field | Advancements in Battery Materials |
| h-index | 1 |
| i10-index | 0 |
| Last Known Institution | Seoul National University |
| OpenAlex ID | https://openalex.org/A5101305203 |
| ORCID iD | 0009-0000-0347-9297 |
| Works | 5 |

## Researcher papers

- [Accelerated Structural Optimization for the Supported Metal System Based on Hybrid Approach Combining Bayesian Optimization with Local Search](https://scholariq.org/papers/accelerated-structural-optimization-for-the-supported-metal-system-based-on/)
- [TalkToAgent: A multi-agent LLM Framework for natural language explanation of reinforcement learning policies](https://scholariq.org/papers/talktoagent-a-multi-agent-llm-framework-for-natural-language-explanation-of/)
- [Decoding industrial-scale battery manufacturing process through integration of causal graphs into explainable artificial intelligence](https://scholariq.org/papers/decoding-industrial-scale-battery-manufacturing-process-through-integration-of/)
- [Image-based Battery Health Monitoring for Capacity Degradation Analysis](https://scholariq.org/papers/image-based-battery-health-monitoring-for-capacity-degradation-analysis/)
- [Degradation-Aware Self-Supervised Learning with Interpretable Battery-State Representations for Label-Efficient Battery Health Diagnostics](https://scholariq.org/papers/degradation-aware-self-supervised-learning-with-interpretable-battery-state/)

## Researcher topics

- [Advancements in Battery Materials](https://scholariq.org/topics/advancements-in-battery-materials/)
- [Advanced Battery Technologies Research](https://scholariq.org/topics/advanced-battery-technologies-research/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)

## Researcher university

- [Seoul National University](https://scholariq.org/institutions/seoul-national-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.