Sungjun Kim

Oct 4, 2024 | pubs.rsc.org | SeongMin Kim |Jungang Heo |Sungjun Kim |Min-Hwi Kim

Dual functionality of NbOx memristors for synaptic and neuronal emulations in advanced neuromorphic systems† In this study, we reveal a novel NbOx memristor structure that significantly advances neuromorphic computing by modulating compliance current (CC). This structure emulates the dynamic functionalities of artificial synapses and neurons, addressing the challenge of accurately imitating biological counterparts.

Sep 5, 2024 | onlinelibrary.wiley.com | SeongMin Kim |Sungjun Kim |Jungang Heo |Min-Hwi Kim

1 Introduction There has been an increase in the demand for large-scale data processing in a variety of applications following the fourth industrial revolution, including big data, artificial intelligence, and the Internet of Things. However, there are challenges associated with the processing of vast amounts of data in existing computer systems given their von Neumann structures.

Jul 26, 2024 | pubs.rsc.org | Dongyeol Ju |Sungjun Kim

Dynamic memristor array with multiple reservoir states for training efficient neuromorphic computing In this study, we evaluated the performance of a Pt/Al/TiOy/TiOx/Al2O3/Pt RRAM array device in synaptic and reservoir computing applications. The device exhibited excellent switching characteristics and consistent set processes, along with verifying 100 cycles of DC endurance and cell-to-cell properties.

Jan 19, 2024 | mdpi.com | SeongMin Kim |Dongyeol Ju |Sungjun Kim

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