99 citations · 330 across the 21 of their papers we have counts for
22 papers
A Matrix Quantum Kinetic Treatment of Impact Ionization in Avalanche Photodiodes
Sheikh Z. Ahmed, Shafat Shahnewaz, Samiran Ganguly +2
Matrix based quantum kinetic simulations have been widely used for the predictive modeling of electronic devices. Inelastic scattering from phonons and electrons are typically trea…
Strained topological insulator spin-orbit torque random access memory (STI-SOTRAM) bit cell for energy-efficient Processing in Memory
Md Golam Morshed, Hamed Vakili, Mohammad Nazmus Sakib +3
We present a novel design of a strained topological insulator spin-orbit torque random access memory (STI-SOTRAM) bit cell comprising a piezoelectric/magnet (gating)/topological in…
Connecting physics to systems with modular spin-circuits
Kemal Selcuk, Saleh Bunaiyan, Nihal Sanjay Singh +5
An emerging paradigm in modern electronics is that of CMOS + requiring the integration of standard CMOS technology with novel materials and technologies denoted by .…
Reduced sensitivity to process, voltage and temperature variations in activated perpendicular magnetic tunnel junctions based stochastic devices
Md Golam Morshed, Laura Rehm, Ankit Shukla +5
True random number generators (TRNGs) are fundamental building blocks for many applications, such as cryptography, Monte Carlo simulations, neuromorphic computing, and probabilisti…
A Deep Dive into the Computational Fidelity of High Variability Low Energy Barrier Magnet Technology for Accelerating Optimization and Bayesian Problems
Md Golam Morshed, Samiran Ganguly, Avik W. Ghosh
Low energy barrier magnet (LBM) technology has recently been proposed as a candidate for accelerating algorithms based on energy minimization and probabilistic graphs because their…
Choose your tools carefully: A Comparative Evaluation of Deterministic vs. Stochastic and Binary vs. Analog Neuron models for Implementing Emerging Computing Paradigms
Md Golam Morshed, Samiran Ganguly, Avik W. Ghosh
Neuromorphic computing, commonly understood as a computing approach built upon neurons, synapses, and their dynamics, as opposed to Boolean gates, is gaining large mindshare due to…
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…
Low power In Memory Computation with Reciprocal Ferromagnet/Topological Insulator Heterostructures
Hamed Vakili, Samiran Ganguly, George J. de Coster +2
The surface state of a 3D topological insulator (3DTI) is a spin-momentum locked conductive state, whose large spin hall angle can be used for the energy-efficient spin orbit torqu…
Anatomy of nanomagnetic switching at a 3D Topological Insulator PN junction
Hamed Vakili, Yunkun Xie, Samiran Ganguly +1
A P-N junction engineered within a Dirac cone system acts as a gate tunable angular filter based on Klein tunneling. For a 3D topological insulator with substantial bandgap, such a…
A Physics Based Multiscale Compact Model of p-i-n Avalanche Photodiodes
Sheikh Z. Ahmed, Samiran Ganguly, Yuan Yuan +4
III-V material based digital alloy Avalanche Photodiodes (APDs) have recently been found to exhibit low noise similar to Silicon APDs. The III-V materials can be chosen to operate…
Computing and Memory Technologies based on Magnetic Skyrmions
Hamed Vakili, Wei Zhou, Chung T Ma +13
Solitonic magnetic excitations such as domain walls and, specifically, skyrmionics enable the possibility of compact, high density, ultrafast,all-electronic, low-energy devices, wh…
Building Reservoir Computing Hardware Using Low Energy-Barrier Magnetics
Samiran Ganguly, Avik W. Ghosh
Biologically inspired recurrent neural networks, such as reservoir computers are of interest in designing spatio-temporal data processors from a hardware point of view due to the s…
Extrinsic Voltage Control of Carrier Lifetime in Polycrystalline PbSe Mid-wave IR Photo Detectors for Increased Detectivity
Samiran Ganguly, Tang Xin, Sung-Shik Yoo +2
Polycrystalline PbSe for mid-wave IR (MWIR) photodetector is an attractive material option due to high operating/ambient temperature operation and relatively easy and cheap fabrica…
Temporal Memory with Magnetic Racetracks
Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly +5
Race logic is a relative timing code that represents information in a wavefront of digital edges on a set of wires in order to accelerate dynamic programming and machine learning a…
Analog Signal Processing Using Stochastic Magnets
Samiran Ganguly, Kerem Y. Camsari, Avik W. Ghosh
We present a low barrier magnet based compact hardware unit for analog stochastic neurons and demonstrate its use as a building-block for neuromorphic hardware. By coupling circula…
Reservoir Computing based Neural Image Filters
Samiran Ganguly, Yunfei Gu, Yunkun Xie +3
Clean images are an important requirement for machine vision systems to recognize visual features correctly. However, the environment, optics, electronics of the physical imaging s…
A Multiscale Materials-to-Systems Modeling of Polycrystalline Pb-Salt Photodetectors
Samiran Ganguly, Moonhyung Jang, Yaohua Tan +3
We present a physics based multiscale materials-to-systems model for polycrystalline photodetectors that connects fundamental material properties to circuit level performanc…
Hardware based Spatio-Temporal Neural Processing Backend for Imaging Sensors: Towards a Smart Camera
Samiran Ganguly, Yunfei Gu, Mircea R. Stan +1
In this work we show how we can build a technology platform for cognitive imaging sensors using recent advances in recurrent neural network architectures and training methods inspi…
Reservoir Computing using Stochastic p-Bits
Samiran Ganguly, Kerem Y. Camsari, Avik W. Ghosh
We present a general hardware framework for building networks that directly implement Reservoir Computing, a popular software method for implementing and training Recurrent Neural…
From materials to systems: a multiscale analysis of nanomagnetic switching
Yunkun Xie, Jianhua Ma, Samiran Ganguly +1
With the increasing demand for low-power electronics, nanomagnetic devices have emerged as strong potential candidates to complement present day transistor technology. A variety of…
Evaluating Spintronic Devices Using The Modular Approach
Samiran Ganguly, Kerem Yunus Camsari, Supriyo Datta
Over the past decade a large family of spintronic devices have been proposed as candidates for replacing CMOS for future digital logic circuits. Using the recently developed Modula…
Non-Equilibrium Green's Function based Circuit Models for Coherent Spin Devices
Kerem Y. Camsari, Samiran Ganguly, Deepanjan Datta +1
With recent developments in spintronics, it is now possible to envision spin-driven devices with magnets and interconnects that require a new class of transport models using genera…