activity
20052023
most citedGraphene Nano-Ribbon Electronics

1.6k citations · 3k across the 22 of their papers we have counts for

collaborators

22 papers

cond-mat.mes-hall2023★ 45 cited

Experimental demonstration of an integrated on-chip p-bit core utilizing stochastic Magnetic Tunnel Junctions and 2D-MoS2 FETs

John Daniel, Zheng Sun, Xuejian Zhang +4

Probabilistic computing is a novel computing scheme that offers a more efficient approach than conventional CMOS-based logic in a variety of applications ranging from optimization…

cond-mat.mtrl-sci2022★ 184 cited

How to Report and Benchmark Emerging Field-Effect Transistors

Zhihui Cheng, Chin-Sheng Pang, Peiqi Wang +13

Emerging low-dimensional nanomaterials have been studied for decades in device applications as field-effect transistors (FETs). However, properly reporting and comparing device per…

cond-mat.mes-hall2020★ 1 cited

Spin orbit torque controlled stochastic oscillators with synchronization and frequency tunability

Punyashloka Debashis, Aman K. Maskay, Pramey Upadhyaya +1

Stochastic oscillators based on emerging nanodevices are attractive because of their ultra-low power requirement and ability to exhibit stochastic resonance, a phenomenon where syn…

cond-mat.mes-hall2020

Electric field control of interaction between magnons and quantum spin defects

Abhishek Bharatbhai Solanki, Simeon I. Bogdanov, Avinash Rustagi +10

Hybrid systems coupling quantum spin defects (QSD) and magnons can enable unique spintronic device functionalities and probes for magnetism. Here, we add electric field control of…

cond-mat.mes-hall2020★ 1 cited

Hardware implementation of Bayesian network building blocks with stochastic spintronic devices

Punyashloka Debashis, Vaibhav Ostwal, Rafatul Faria +3

Bayesian networks are powerful statistical models to understand causal relationships in real-world probabilistic problems such as diagnosis, forecasting, computer vision, etc. For…

cs.ET2020

Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation

Hossein Pourmeidani, Punyashloka Debashis, Zhihong Chen +2

Energy-efficient methods are addressed for leveraging low energy barrier nanomagnetic devices within neuromorphic architectures. Using a Magnetoresistive Random Access Memory (MRAM…