Seoul National Univ. DMSE
People
Faculty
Jun Min Suh
Assistant Professor
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Mailstop
18-405
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Phone
02-880-8463
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Fax
N/A
- Homepage
Education
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2014
B.S : Seoul National University, Department of Materials Science and Engineering
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2020
Ph.D : Seoul National University, Department of Materials Science and Engineering
Career
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2020-2021
Seoul National University, Research Institute of Advanced Materials, Postdoctoral Researcher
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2021-2025
Massachusetts Institute of Technology, Department of Mechanical Engineering, Postdoctoral Researcher
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2025-Current
Seoul National University, School of Transdisciplinary Innovations, Assistant Professor
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2025-Current
Seoul National University, Department of Materials Science and Engineering, Assistant Professor
Research Interests
1. Advanced Semiconductor Materials and Devices
Development and integration of emerging semiconductor materials for next-generation electronics, with a focus on performance, scalability, and functionality.
2. Intelligent Sensor Systems
Design of highly reliable and sensitive physical and chemical sensors with integrated in-sensor or near-sensor computing capabilities for low-power, real-time data processing.
3. Freestanding Membranes and Heterogeneous 3D Integration
Utilization of single-crystalline freestanding membranes to overcome critical challenges in heterogeneous 3D integration, enabling seamless stacking and multifunctional device architectures.
Development and integration of emerging semiconductor materials for next-generation electronics, with a focus on performance, scalability, and functionality.
2. Intelligent Sensor Systems
Design of highly reliable and sensitive physical and chemical sensors with integrated in-sensor or near-sensor computing capabilities for low-power, real-time data processing.
3. Freestanding Membranes and Heterogeneous 3D Integration
Utilization of single-crystalline freestanding membranes to overcome critical challenges in heterogeneous 3D integration, enabling seamless stacking and multifunctional device architectures.
Selected Publications
* Chip-less wireless electronic skins by remote epitaxial freestanding compound semiconductors, Science, 377, 859-864 (2022)
* Data-centric artificial olfactory system based on the eigengraph, Nature Communications, 15, 1211 (2024)
* Optically Activated 3D Thin-Shell TiO2 for Super-sensitive Chemoresistive Responses: Toward Visible Light Activation, Advanced Science, 8, 2001883 (2021)
* Facile Formation of Metal–Oxide Nanocraters by Laser Irradiation for Highly Enhanced Detection of Volatile Organic Compounds, Small Structures, 4, 2300068 (2023)
* Substantially Accelerated Response and Recovery in Pd-Decorated WO3 Nanorods Gasochromic Hydrogen Sensor, Small, 20, 2309744 (2024)
* Data-centric artificial olfactory system based on the eigengraph, Nature Communications, 15, 1211 (2024)
* Optically Activated 3D Thin-Shell TiO2 for Super-sensitive Chemoresistive Responses: Toward Visible Light Activation, Advanced Science, 8, 2001883 (2021)
* Facile Formation of Metal–Oxide Nanocraters by Laser Irradiation for Highly Enhanced Detection of Volatile Organic Compounds, Small Structures, 4, 2300068 (2023)
* Substantially Accelerated Response and Recovery in Pd-Decorated WO3 Nanorods Gasochromic Hydrogen Sensor, Small, 20, 2309744 (2024)
Lab Overview
1. Advanced Semiconductor Materials and Devices
As the demand for faster, smaller, and more energy-efficient electronics continues to grow, the development of next-generation semiconductor materials becomes increasingly critical. Our research explores the integration of emerging semiconductor materials into advanced electronic and optoelectronic devices. We investigate novel material synthesis techniques to enable high-performance device fabrication on diverse substrates. By understanding and engineering the electronic properties at the atomic scale, we aim to improve device scalability, functionality, and energy efficiency for future applications in high-speed computing, flexible electronics, and neuromorphic systems.
2. Intelligent Sensor Systems
The next generation of sensors must do more than just detect—they must think. Our lab develops intelligent physical and chemical sensor systems that not only exhibit high sensitivity and reliability, but also integrate computational capabilities at or near the sensor node. These systems are designed for low-power, real-time monitoring in environments where energy efficiency and miniaturization are essential, such as in wearable healthcare technologies, edge AI platforms, and smart industrial infrastructure. We explore the co-design of novel sensing materials (e.g., piezoelectric, pyroelectric, and chemiresistive films) with embedded processing to enable in-sensor AI, paving the way for autonomous and context-aware sensing systems.
3. Freestanding Membranes and Heterogeneous 3D Integration
As conventional 2D system integration approaches reach limitations in interconnect density, design flexibility, and vertical scaling, our research explores new architectural paradigms enabled by freestanding single-crystalline membranes. By developing techniques to separate and transfer ultrathin functional materials from their growth substrates, we enable flexible stacking and bonding onto CMOS or other base circuits without compromising material quality. This platform not only addresses key challenges related to alignment, yield, and process compatibility in heterogeneous integration, but also expands design freedom across multiple device layers. We leverage these technologies to build multi-functional systems for RF communication, energy harvesting, and healthcare applications—demonstrating how freestanding materials can drive both "More Moore" and "More than Moore" advancements.
As the demand for faster, smaller, and more energy-efficient electronics continues to grow, the development of next-generation semiconductor materials becomes increasingly critical. Our research explores the integration of emerging semiconductor materials into advanced electronic and optoelectronic devices. We investigate novel material synthesis techniques to enable high-performance device fabrication on diverse substrates. By understanding and engineering the electronic properties at the atomic scale, we aim to improve device scalability, functionality, and energy efficiency for future applications in high-speed computing, flexible electronics, and neuromorphic systems.
2. Intelligent Sensor Systems
The next generation of sensors must do more than just detect—they must think. Our lab develops intelligent physical and chemical sensor systems that not only exhibit high sensitivity and reliability, but also integrate computational capabilities at or near the sensor node. These systems are designed for low-power, real-time monitoring in environments where energy efficiency and miniaturization are essential, such as in wearable healthcare technologies, edge AI platforms, and smart industrial infrastructure. We explore the co-design of novel sensing materials (e.g., piezoelectric, pyroelectric, and chemiresistive films) with embedded processing to enable in-sensor AI, paving the way for autonomous and context-aware sensing systems.
3. Freestanding Membranes and Heterogeneous 3D Integration
As conventional 2D system integration approaches reach limitations in interconnect density, design flexibility, and vertical scaling, our research explores new architectural paradigms enabled by freestanding single-crystalline membranes. By developing techniques to separate and transfer ultrathin functional materials from their growth substrates, we enable flexible stacking and bonding onto CMOS or other base circuits without compromising material quality. This platform not only addresses key challenges related to alignment, yield, and process compatibility in heterogeneous integration, but also expands design freedom across multiple device layers. We leverage these technologies to build multi-functional systems for RF communication, energy harvesting, and healthcare applications—demonstrating how freestanding materials can drive both "More Moore" and "More than Moore" advancements.