activity
20212024
most citedCryoCiM: Cryogenic Compute-in-Memory based on the Quantum Anomalous Hall Effect

18 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mes-hall20241 cited

Harnessing Ferro-Valleytricity in Penta-Layer Rhombohedral Graphene for Memory and Compute

Md Mazharul Islam, Shamiul Alam, Md Rahatul Islam Udoy +3

Two-dimensional materials with multiple degrees of freedom, including spin, valleys, and orbitals, open up an exciting avenue for engineering multifunctional devices. Beyond spintr…

cs.LG2023

Machine Learning-powered Compact Modeling of Stochastic Electronic Devices using Mixture Density Networks

Jack Hutchins, Shamiul Alam, Dana S. Rampini +3

The relentless pursuit of miniaturization and performance enhancement in electronic devices has led to a fundamental challenge in the field of circuit design and simulation: how to…

cs.AR2023

CMOS-based Single-Cycle In-Memory XOR/XNOR

Shamiul Alam, Jack Hutchins, Nikhil Shukla +2

Big data applications are on the rise, and so is the number of data centers. The ever-increasing massive data pool needs to be periodically backed up in a secure environment. Moreo…

physics.app-ph2023

Harnessing Unipolar Threshold Switches for Enhanced Rectification

Md Mazharul Islam, Shamiul Alam, Garrett S. Rose +3

Phase transition materials (PTM) have drawn significant attention in recent years due to their abrupt threshold switching characteristics and hysteretic behavior. Augmentation of t…

cs.ET2023

Reimagining Sense Amplifiers: Harnessing Phase Transition Materials for Current and Voltage Sensing

Md Mazharul Islam, Shamiul Alam, Mohammad Adnan Jahangir +5

Energy-efficient sense amplifier (SA) circuits are essential for reliable detection of stored memory states in emerging memory systems. In this work, we present four novel sense am…

cs.NE2023

A Deep Dive into the Design Space of a Dynamically Reconfigurable Cryogenic Spiking Neuron

Md Mazharul Islam, Shamiul Alam, Catherine D Schuman +2

Spiking neural network offers the most bio-realistic approach to mimic the parallelism and compactness of the human brain. A spiking neuron is the central component of an SNN which…