activity
20192026
most citedGate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor

456 citations · 611 across the 9 of their papers we have counts for

collaborators

9 papers

cond-mat.mtrl-sci2026

Room-temperature ferroelectrically switchable quantum geometry in few-layer WTe2 for complementary in-memory computing

Ruihan Wang, Pengfei Wang, Haoyun Chen +10

Quantum geometry, describing the inherent geometric structure of electron wavefunctions in momentum space, transcends the traditional charge degree of freedom and provides a novel…

cond-mat.mes-hall2025★ 1 cited

Quantum Transport Reservoir Computing

Yecheng Jing, Pengfei Wang, Shuai Zhang +3

Reservoir computing (RC), a neural network designed for temporal data, enables efficient computation with low-cost training and direct physical implementation. Recently, quantum RC…

cond-mat.mes-hall2025

Skin-inspired in-sensor encoding of strain vector using tunable quantum geometry

Zenglin Liu, Jingwen Shi, Jin Cao +15

Human skin provides crucial tactile feedback, allowing us to skillfully perceive various objects by sensing and encoding complex deformations through multiple parameters in each ta…

cond-mat.mes-hall2024★ 27 cited

Interfacial magnetic spin Hall effect in van der Waals Fe3GeTe2/MoTe2 heterostructure

Yudi Dai, Junlin Xiong, Yanfeng Ge +13

The spin Hall effect (SHE) allows efficient generation of spin polarization or spin current through charge current and plays a crucial role in the development of spintronics. While…

cond-mat.mes-hall2023★ 26 cited

Moire synaptic transistor for homogeneous-architecture reservoir computing

Pengfei Wang, Moyu Chen, Yongqin Xie +6

Reservoir computing has been considered as a promising intelligent computing paradigm for effectively processing complex temporal information. Exploiting tunable and reproducible d…

cond-mat.mes-hall2022

Cascadable in-memory computing based on symmetric writing and read out

Lizheng Wang, Junlin Xiong, Bin Cheng +17

The building block of in-memory computing with spintronic devices is mainly based on the magnetic tunnel junction with perpendicular interfacial anisotropy (p-MTJ). The resulting a…