activity
20172021
most citedReservoir Computing using Stochastic p-Bits

8 citations · 8 across the 3 of their papers we have counts for

collaborators

9 papers

physics.ins-det2021

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…

cond-mat.mtrl-sci2021

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…

cs.ET2020

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…

physics.app-ph2020

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…

physics.app-ph2020

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…

cs.CV2018

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…