Hae-Jin Kim

Prof. Hae-Jin Kim

School of Mechanical Engineering, Gyeongsang National University, Jinju-si 52828, Korea

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 October 2019 in Science Advances
Verified
Journal Article
Open access
PDF file
Hyunseok ShimHyunseok Shim
Hyunseok Shim
KSKyoseung Sim
Kyoseung Sim
FEFaheem Ershad
Faheem Ershad
PYPinyi Yang
Pinyi Yang
ATAnish Thukral
Anish Thukral
CYCunjiang Yu
Cunjiang Yu
Fully rubbery synaptic transistors and neurologically integrated soft engineering systems are developed.

1 February 2019 in Science Advances
Verified
Journal Article
Open access
PDF file
KSKyoseung Sim
Kyoseung Sim
ZRZhoulyu Rao
Zhoulyu Rao
Hae-Jin KimHae-Jin Kim
Hae-Jin Kim
ATAnish Thukral
Anish Thukral
Hyunseok ShimHyunseok Shim
Hyunseok Shim
CYCunjiang Yu
Cunjiang Yu
Rubbery stretchable semiconductor with high effective mobility and its rubbery integrated electronics are demonstrated.

1 June 2022 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
HSHyunseok Shim
Hyunseok Shim
SJSeonmin Jang
Seonmin Jang
ATAnish Thukral
Anish Thukral
SJSeongsik Jeong
Seongsik Jeong
HJHyeseon Jo
Hyeseon Jo
CYCunjiang Yu
Cunjiang Yu
Significance: Enabling distributed neurologic and cognitive functions in soft deformable devices, such as robotics, wearables, skin prosthetics, bioelectronics, etc., represents a massive leap in their development. The results presented here reveal the device characteristics of the building block, i.e., a stretchable elastomeric synaptic transistor, its characteristics under various levels of biaxial strain, and performances of various stretchy distributed neuromorphic devices. The stretchable neuromorphic array of synaptic transistors and the neuromorphic imaging sensory skin enable platforms to create a wide range of soft devices and systems with implemented neuromorphic and cognitive functions, including artificial cognitive skins, wearable neuromorphic computing, artificial organs, neurorobotics, and skin prosthetics.

4 October 2013 in Tribology Letters
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Journal Article
Closed access
PDF file
KCKoo-Hyun Chung
Koo-Hyun Chung
YLYong-Ha Lee
Yong-Ha Lee
Hae-Jin KimHae-Jin Kim
Hae-Jin Kim
Dae-Eun KimDae-Eun Kim
Dae-Eun Kim

23 May 2022 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
TKTaehee Kim
Taehee Kim
SJSeongsik Jeong
Seongsik Jeong
KKKyeong-Hwan Kim
Kyeong-Hwan Kim
HSHyunseok Shim
Hyunseok Shim
Dongho KimDongho Kim
Dongho Kim
Hae-Jin KimHae-Jin Kim
Hae-Jin Kim

6 May 2022 in NPG Asia Materials
Verified
Journal Article
Open access
PDF file
SHSeojun Heo
Seojun Heo
SJSeongsik Jeong
Seongsik Jeong
KKKyeong-Hwan Kim
Kyeong-Hwan Kim
Hae-Jin KimHae-Jin Kim
Hae-Jin Kim
With the growing interest in wearable devices in recent decades, considerable effort has been devoted to developing mechanical elastomeric devices such as sensors, transistors, logic circuits, and integrated circuits. To successfully implement elastomeric devices subjected to large mechanical deformations or stretching, all the components, including conductors, semiconductors, and dielectrics, must have high stability and mechanical sustainability. Elastomeric conductors, which exhibit excellent electrical performances under mechanical deformations, are key components of elastomeric devices. Herein, we prepared fully elastomeric electrodes based on interconnected 2D gold nanosheets (AuNSs) to develop mechanically resilient integrated electronics. The AuNS elastomeric electrodes exhibited a sheet resistance of less than 2 Ω/sq under 50% stretching and sustained 100,000 stretching–releasing cycles. These electrodes with a dedicated design were used in combination with elastomeric semiconductors of P3HT nanofibrils in the PDMS elastomer (P3NF/PDMS) and an ion gel as a dielectric to realize elastomeric transistors, inverters, and NOR and NAND logic gates. Additionally, an elastomeric 8 × 8 transistor array that can sustain various types of mechanical stimuli was successfully demonstrated. Furthermore, the elastomeric electronic devices implemented on a soft robot showed no interfering performances during robot gripping motion. The proposed framework is expected to aid in the rapid development and broaden the application scope of soft electronics.