Photogating Regimes in Graphene: Memory-Bearing and Reset-Free Operation

We demonstrate photogating in a graphene/Si-SiO<sub>2</sub> stack, where vertical motion of photogenerated charge is converted into a corresponding change in graphene channel conductance in real time. Under pulsed illumination, holes accumulate at the Si/SiO<sub>2</sub> interface, creating a surface photovoltage that shifts the flat-band condition and electrostatically suppresses graphene conductance. A dual-readout scheme-simultaneously tracking interfacial charging dynamics and the graphene channel-cleanly separates optical charge injection (cause) from electronic transduction (effect). This separation allows for the direct extraction of practical figures of merit without conventional transfer sweeps, including flat-band shift per pulse, retention time constants, and trap occupancy. Interface kinetics then define two operating regimes: a fast, resettable detector when traps are sparse or rapid, and a trap-assisted analog-memory state when slow traps retain charge between pulses. The mechanism is complementary metal-oxide-semiconductor compatible (CMOS-compatible) and needs no cryogenics or exotic materials. Together, these results outline a compact route to engineer integrating photodetectors, pixel-level memory for adaptive imaging, and neuromorphic optoelectronic elements that couple sensing with in situ computation.

Authors

Institutions

Publication Details

Journal
Nanomaterials
Published
2025-11-02
DOI
https://doi.org/10.3390/nano15211667
Citations
1
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photogating Regimes in Graphene: Memory-Bearing and Reset-Free Operation

Ayesha Salman, Afshan Khaliq, Sichao Du, Hongsheng Xu et al.
1 citations
Nanomaterials
Graphene research and applications
0.52
article

Photogating Regimes in Graphene: Memory-Bearing and Reset-Free Operation

Ayesha Salman, Afshan Khaliq, Sichao Du, Hongsheng Xu, Akeel Qadir, Munir Ali, Shihua Huang
article en
1 citations

Abstract

We demonstrate photogating in a graphene/Si-SiO<sub>2</sub> stack, where vertical motion of photogenerated charge is converted into a corresponding change in graphene channel conductance in real time. Under pulsed illumination, holes accumulate at the Si/SiO<sub>2</sub> interface, creating a surface photovoltage that shifts the flat-band condition and electrostatically suppresses graphene conductance. A dual-readout scheme-simultaneously tracking interfacial charging dynamics and the graphene channel-cleanly separates optical charge injection (cause) from electronic transduction (effect). This separation allows for the direct extraction of practical figures of merit without conventional transfer sweeps, including flat-band shift per pulse, retention time constants, and trap occupancy. Interface kinetics then define two operating regimes: a fast, resettable detector when traps are sparse or rapid, and a trap-assisted analog-memory state when slow traps retain charge between pulses. The mechanism is complementary metal-oxide-semiconductor compatible (CMOS-compatible) and needs no cryogenics or exotic materials. Together, these results outline a compact route to engineer integrating photodetectors, pixel-level memory for adaptive imaging, and neuromorphic optoelectronic elements that couple sensing with in situ computation.

NanomaterialsVol. 15(21)
Zhejiang Normal University (CN), Anhui University (CN), Integrated Optoelectronics (Norway) (NO), Zhejiang University (CN), Air University (PK)
National Natural Science Foundation of China
Openalex Percentile: Top 31%
Graphene research and applications
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Photogating Regimes in Graphene: Memory-Bearing and Reset-Free Operation — Ayesha Salman, Afshan Khaliq, et al. · Nanomaterials (2025) | TGRS Research Map | TGRS