Author

H. Kim

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Open access Oct 2026

Charge-Domain In-Memory Computing With NAND-Compatible Ferroelectric Memcapacitor Crossbar.

Rapid growth in artificial intelligence has intensified the need for energy-efficient computing architectures beyond the conventional von Neumann paradigm. While memristive in-memory computing has attracted significant attention, its low cell resistance causes static power consumption, IR-drop-induced errors, and scala...

Hwiho Hwang, Jun-Su Yu, S. Youn et al. · Small · 0 citations

Open access Sep 2026

Capacitive in-memory vector–matrix multiplication computing with charge-trap memcapacitors

Energy-efficient neural computing is increasingly limited not by computational throughput but by memory access and data movement. In-memory computing architectures offer a promising solution by collocating storage and computation, yet their practical realization remains constrained by static power dissipation, thermal...

Junsu Yu, Hwiho Hwang, H. Kim et al. · Nano Convergence · 0 citations

Open access Sep 2026

Unified In-Memory Hardware Security Enabled by an Entropy Landscape in a Memristor Crossbar.

This work establishes a materials-driven approach to compact, low-power, and intrinsically secure in-memory hardware architectures for next-generation Internet-of-Things applications.

Jinwoo Park, H. Kim · Small · 0 citations