Reconfigurable Vertical Schottky Photodiodes Based on Ferroelectric 2D Semiconductors for Perceptual‐Precision, Context‐Aware Neuromorphic Vision

T Tae Hyun Yoon (Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea) J Jin Yong An (Inter‐University Semiconductor Research Center (ISRC) Seoul National University Seoul Republic of Korea) Y Yeon Ho Kim (Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea) W Woong Huh (KU‐KIST Graduate School of Converging Science & Technology Korea University Seoul Republic of Korea) J Jaeho Lee S Sungmin Park (IT Materials & Components Research Center) B Bong Gi Lim (Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea) D Donghui Kang (Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea) S Sangcheon Park (Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea) C Chul‐Ho Lee (Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea)

Abstract

ABSTRACT To realize in‐memory sensing and computing platforms, it is essential to integrate sensing, computation, and memory functionalities within a single device, enabling energy‐ and time‐efficient vision systems with high perceptual precision. However, achieving such multi‐functional processing capability within a compact device structure remains a major challenge. Here, a reconfigurable vertical photodiode based on α‐In 2 Se 3 is presented, a ferroelectric 2D semiconductor. Gradual and reversible modulation of built‐in electric fields at the top and bottom Schottky junctions is achieved through partial out‐of‐plane polarization switching of α‐In 2 Se 3 , enabling multi‐level, non‐volatile, and polarity‐tunable photoresponsivity. This allows analog programmability with a high degree of freedom in processing within a two‐terminal metal‐ferroelectric semiconductor‐metal (MFsM) structure, effectively resolving trade‐off between structural compactness and computing versatility. Leveraging these intrinsic characteristics, we demonstrate a versatile sensor‐level perceptual processing framework using a reconfigurable photodiode crossbar array. By exploiting the high‐density spatial integration capability, the system adaptively configures its spatial support to prioritize either suppressing environmental noise for robust feature extraction or preserving fine‐grained details for precise classification, depending on the task requirements. These results lay the foundation for highly scalable and energy‐efficient neuromorphic vision system with high perceptual precision.

Article Details

Volume / Issue Vol. 38, Issue 13
Published March 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (10)

T

Tae Hyun Yoon

Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea

J

Jin Yong An

Inter‐University Semiconductor Research Center (ISRC) Seoul National University Seoul Republic of Korea

Y

Yeon Ho Kim

Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea

W

Woong Huh

KU‐KIST Graduate School of Converging Science & Technology Korea University Seoul Republic of Korea

J

Jaeho Lee

S

Sungmin Park

IT Materials & Components Research Center

B

Bong Gi Lim

Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea

D

Donghui Kang

Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea

S

Sangcheon Park

Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea

C

Chul‐Ho Lee

Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea