Concepedia

Fang Nie

FN

7

Publications

433

Citations

7

H-Index

2022

Active since

Affiliations

Harbin Institute of Technology(Current)

Shandong University

Qilu University of Technology

University of Jinan

State Key Laboratory of Crystal Materials

Fang Nie is an author at Harbin Institute of Technology specializing in neuromorphic engineering, neuroscience, and engineering.

Top concepts

EngineeringNeuroscienceNeuromorphic EngineeringApplied PhysicsSynaptic PlasticityNeuromorphic DevicesComputational NeuroscienceMedicineBioelectronicsNeural Circuits

Publications per year

2022–2025

7

Publications

7

High‐Performance Neuromorphic Computing Based on Ferroelectric Synapses with Excellent Conductance Linearity and Symmetry

Shuting Yang, Xing‐Yu Li, Tongliang Yu et al. · Advanced Functional Materials · 2022 · 169 citations · Full text

Engineering, Synaptic Transmission, Synaptic Signaling +19

Multimodal In‐Sensor Computing Implemented by Easily‐Fabricated Oxide‐Heterojunction Optoelectronic Synapses

Shuanger Ma, Jie Wang, Le Zhao et al. · Advanced Functional Materials · 2024 · 105 citations

Artificial Sensory Systems, Engineering, Device Array +21

Ferroelectric artificial synapses for high-performance neuromorphic computing: Status, prospects, and challenges

Le Zhao, Jie Wang, Fang Nie et al. · Applied Physics Letters · 2024 · 60 citations · Full text

High-performance Neuromorphic Computing, Engineering, Neurochip +22

An Adaptive Solid‐State Synapse with Bi‐Directional Relaxation for Multimodal Recognition and Spatio‐Temporal Learning

Fang Nie, Jie Wang, Le Zhao et al. · Advanced Materials · 2025 · 43 citations · Full text

Ultrathin SrTiO<sub>3</sub>-based oxide memristor with both drift and diffusive dynamics as versatile synaptic emulators for neuromorphic computing

Fang Nie, Jie Wang, Shuanger Ma et al. · Materials Futures · 2023 · 25 citations · Full text

Engineering, Synaptic Transmission, Srtio 3 +23

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