314 citations · 3.7k across the 112 of their papers we have counts for
113 papers
A Spin Field Effect Transistor Based on a Strained Two Dimensional Layer of a Weyl Semimetal
Rahnuma Rahman, Supriyo Bandyopadhyay
Spin field effect transistors (SpinFET) are an iconic class of spintronic devices that exploit gate tuned spin-orbit interaction in semiconductor channels interposed between ferrom…
Increasing Flips per Second and Speed of p-Computers by Using Dilute Magnetic Semiconductors to Implement Binary Stochastic Neurons
Rahnuma Rahman, Supriyo Bandyopadhyay
Probabilistic computing with binary stochastic neurons (BSN) implemented with low- or zero-energy barrier nanoscale ferromagnets (LBMs) possessing in-plane magnetic anisotropy has…
Roadmap for Unconventional Computing with Nanotechnology
Giovanni Finocchio, Jean Anne C. Incorvia, Joseph S. Friedman +48
In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same ti…
A Non-Volatile All-Spin Non-Binary Matrix Multiplier: An Efficient Hardware Accelerator for Machine Learning
Rahnuma Rahman, Supriyo Bandyopadhyay
We propose and analyze a compact and non-volatile nanomagnetic (all-spin) non-binary matrix multiplier performing the multiply-and-accumulate (MAC) operation using two magnetic tun…
Strained topological insulator spin field effect transistor
Supriyo Bandyopadhyay
The notion of a spin field effect transistor, where transistor action is realized by manipulating the spin degree of freedom of charge carriers instead of the charge degree of free…
Robustness of binary stochastic neurons implemented with low barrier nanomagnets made of dilute magnetic semiconductors
Rahnuma Rahman, Supriyo Bandyopadhyay
Binary stochastic neurons (BSNs) are excellent hardware accelerators for machine learning. A popular platform for implementing them are low- or zero-energy barrier nanomagnets poss…