3 papers
eess.SP2023
In-Sensor Radio Frequency Computing for Energy-Efficient Intelligent Radar
Yang Sui, Minning Zhu, Lingyi Huang +2
Radio Frequency Neural Networks (RFNNs) have demonstrated advantages in realizing intelligent applications across various domains. However, as the model size of deep neural network…
cond-mat.str-el2023
Hydrogen-induced tunable remanent polarization in a perovskite nickelate
Yifan Yuan, Michele Kotiuga, Tae Joon Park +18
Materials with field-tunable polarization are of broad interest to condensed matter sciences and solid-state device technologies. Here, using hydrogen (H) donor doping, we modify t…
cond-mat.dis-nn2023
Temporal credit assignment for one-shot learning utilizing a phase transition material
Alessandro R. Galloni, Yifan Yuan, Minning Zhu +6
Design of hardware based on biological principles of neuronal computation and plasticity in the brain is a leading approach to realizing energy- and sample-efficient artificial int…