15 citations · 58 across the 10 of their papers we have counts for
10 papers
An analog ac voltage amplifier based on a single straintronic magnetic tunnel junction
Cael Johnson, Rahnuma Rahman, Supriyo Bandyopadhyay
Magnetic tunnel junctions (MTJs) are known for their digital applications (memory and logic). A special class of them called "straintronic" magnetic tunnel junctions (s-MTJ) has la…
Ternary Stochastic Neuron -- Implemented with a Single Strained Magnetostrictive Nanomagnet
Rahnuma Rahman, Supriyo Bandyopadhyay
Stochastic neurons are extremely efficient hardware for solving a large class of problems and usually come in two varieties -- "binary" where the neuronal statevaries randomly betw…
Stress Engineering of Thermal Fluctuation of Magnetization and Noise Spectra in Low Barrier Nanomagnets Used as Analog and Binary Stochastic Neurons
Rahnuma Rahman, Supriyo Bandyopadhyay
A single-domain nanomagnet, shaped like a thin elliptical disk with small eccentricity, has a double well potential profile with two degenerate energy minima separated by a small b…
Reconfigurable Stochastic Neurons Based on Strain Engineered Low Barrier Nanomagnets
Rahnuma Rahman, Samiran Ganguly, Supriyo Bandyopadhyay
Stochastic neurons are efficient hardware accelerators for solving a large variety of combinatorial optimization problems. "Binary" stochastic neurons (BSN) are those whose states…
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…
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…
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…
The Strong Sensitivity of the Characteristics of Binary Stochastic Neurons Employing Low Barrier Nanomagnets to Small Geometrical Variations
Rahnuma Rahman, Supriyo Bandyopadhyay
Binary stochastic neurons (BSNs) are excellent activators for machine learning. An ideal platform for implementing them are low- or zero-energy-barrier nanomagnets (LBMs) possessin…
An observable effect of spin inertia in slow magneto-dynamics: Increase of the switching error rates in nanoscale ferromagnets
Rahnuma Rahman, Supriyo Bandyopadhyay
The Landau-Lifshitz-Gilbert (LLG) equation, used to model magneto-dynamics in ferromagnets, tacitly assumes that the angular momentum associated with spin precession can relax inst…