Memristive floating-point Fourier neural operator network for efficient scientific modeling
Jiancong Li(Huazhong Agricultural University), Xiangshui Miao(Wuhan National Laboratory for Optoelectronics), Jing Tian(Huazhong Agricultural University), Jia Chen(Hong Kong University of Science and Technology), Yuhui He(Huazhong Agricultural University), Huaqiang Wu(Tsinghua University), Yudeng Lin(Tsinghua University), Yi Li(Huazhong Agricultural University), Zhiwei Zhou(Huazhong University of Science and Technology), Jianshi Tang(Tsinghua University), He Qian(Tsinghua University), Bin Gao(Tsinghua University)
Cited by 3
Related Papers
Switching of perpendicular magnetization by spin–orbit torques in the absence of external magnetic fields
|Nature Nanotechnology|2014|1k
Recommended Methods to Study Resistive Switching Devices
|Advanced Electronic Materials|2018|649
Physically unclonable cryptographic primitives using self-assembled carbon nanotubes
|Nature Nanotechnology|2016|209
Progressive Regulation of Electrical and Thermal Transport Properties to High‐Performance CuInTe<sub>2</sub> Thermoelectric Materials
|Advanced Energy Materials|2016|155
Fully integrated multi-mode optoelectronic memristor array for diversified in-sensor computing
|Nature Nanotechnology|2024|153