Dongmin Kang
Korea Advanced Institute of Science and Technology · Materials Science
About the Lab
Professor Dongmin Kang's research lab specializes in advanced electronic and photonic devices, with a strong focus on high-performance optoelectronics, millimeter-wave and terahertz communication systems, and integrated circuit design for next-generation wireless applications. The lab develops innovative solutions in white OLEDs with enhanced efficiency and color stability, compact wideband antennas for 60 GHz systems, and high-efficiency power amplifiers and frequency multipliers in advanced CMOS and III-V semiconductor processes. Their work spans from fundamental device physics to monolithic integration, targeting applications in 5G/6G communications, automotive radar, and energy-efficient wireless systems. The lab also pioneers novel machine learning techniques for 3D point cloud processing through input-level domain adaptation, extending deep learning to 3D spatial data with minimal supervision.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15The influence of grain boundaries is modelled to show that there is much room for improvement in some thermoelectric materials.
The study of thermoelectric materials spans condensed matter physics, materials science and engineering, and solid-state chemistry. The diversity of the participants and the inherent complexity of the topic mean that it is difficult, if not impossible, for a researcher to be fluent in all aspects of the field. This review, which grew out of a one-week summer school for graduate students, aims to provide an introduction and practical guidance for selected conceptual, synthetic, and characterizati
With accelerating trends in miniaturization of semiconductor devices, techniques for energy harvesting become increasingly important, especially in wearable technologies and sensors for the internet of things. Although thermoelectric systems have many attractive attributes in this context, maintaining large temperature differences across the device terminals and achieving low-thermal impedance interfaces to the surrounding environment become increasingly difficult to achieve as the characteristi
An n-type material with intrinsically higher thermoelectric conversion efficiency than Bi<sub>2</sub>Te<sub>3</sub> in the low-grade waste-heat range has finally been developed.
Energy harvesting with triboelectric nanogenerators is a burgeoning field, with a growing portfolio of creative application schemes attracting much interest. Although power generation capabilities and its optimization are one of the most important subjects, a satisfactory elemental model that illustrates the basic principles and sets the optimization guideline remains elusive. We use a simple model to clarify how the energy generation mechanism is electrostatic induction but with a time-varying
The galvanostatic intermittent titration technique (GITT), introduced in 1977 by Weppner and Huggins, provided a readily accessible means to measuring the chemical diffusion coefficient of electrochemical electrode materials. The method continues to be widely used today, but the reported diffusivity values are highly inconsistent, ranging as much as four orders of magnitude for some Li layered oxide compositions. Even qualitative trends of diffusivity are inconsistent, suggesting significant fla
The superionic phase transition of Cu_(2-x)Se accompanies drastic changes in transport properties. The Seebeck coefficient increases sharply while the electrical conductivity and thermal diffusivity drops. Such behavior has previously been attributed to critical phenomena under the assumption of a continuous phase transition. However, applying Landau's criteria suggests that the transition should be first order. Using the phase diagram that is consistent with a first order transition, we show th
Following a critical review of the galvanostatic intermittent titration technique in Part I, here we experimentally demonstrate how to extract chemical diffusivity with a modified method. We prepare dense bulk samples that ensure diffusion-limitation. We utilize the scaling with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msqrt> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>t</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>relax</mml:mi> </mml:mrow> </mml:msub> <mml:mo>+<
The charge transport mechanism in a solid is often inferred by observing very simple features like the temperature dependency of electrical conductivity or resistivity. However, comparing complicated physical models to such simple signatures leaves much ambiguity. Because models generally have more parameters than the types of measurements available, inconsistencies can long go unrecognized until the interrelation between different measurements is closely examined. We show that a simple investig
Abstract Electronic resistance in lithium‐ion battery positive electrodes is typically attributed to the bulk resistance of the active material and the network resistance of the carbon additive. Expected overpotentials from these bulk components are minimal relative to that from charge‐transfer resistance. However, literature reports show that cell overpotentials are often much more sensitive to conductive additives than the expected level from bulk or percolating‐network transport. This discrep
Thermoelectric semiconducting materials are often evaluated by their figure-of-merit, zT. However, by using zT as the metric for showing improvements, it is not immediately clear whether the improvement is from an enhancement of the inherent material property or from optimization of the carrier concentration. Here, we review the quality factor approach which allows one to separate these two contributions even without Hall measurements. We introduce practical methods that can be used without nume
Quantified capacity loss mechanisms via atypically low voltages reveals solid electrolyte oxidation reversibility and surprisingly high first-cycle coulombic efficiency.
Research Areas
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