activity
20082026
most citedComputing and Memory Technologies based on Magnetic Skyrmions

99 citations · 328 across the 12 of their papers we have counts for

collaborators

13 papers

physics.app-ph2026

Delayed Coupling Restores Ising Phase Dynamics in Physical Oscillator Networks

Yi Cheng, Liangtao Dai, Mircea R Stan +1

Oscillator-based Ising machines, in which the phases of coupled self-sustaining oscillators evolve toward decreasing an Ising Hamiltonian, are commonly interpreted as physical real…

cond-mat.mtrl-sci2021★ 99 cited

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…

physics.app-ph2020★ 22 cited

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.ET2020★ 17 cited

Memristive Learning Cellular Automata: Theory and Applications

Rafailia-Eleni Karamani, Iosif-Angelos Fyrigos, Vasileios Ntinas +6

Memristors are novel non volatile devices that manage to combine storing and processing capabilities in the same physical place.Their nanoscale dimensions and low power consumption…

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…

cs.CV2018★ 3 cited

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…

cs.AR2017★ 24 cited

Tolerating Soft Errors in Processor Cores Using CLEAR (Cross-Layer Exploration for Architecting Resilience)

Eric Cheng, Shahrzad Mirkhani, Lukasz G. Szafaryn +8

We present CLEAR (Cross-Layer Exploration for Architecting Resilience), a first of its kind framework which overcomes a major challenge in the design of digital systems that are re…

cond-mat.mes-hall2016★ 11 cited

Spin-torque switching in large size nano-magnet with perpendicular magnetic fields

Linqiang Luo, Mehdi Kabir, Nam Dao +5

DC current induced magnetization reversal and magnetization oscillation was observed in 500 nm large size Co90Fe10/Cu/Ni80Fe20 pillars. A perpendicular external field enhanced the…

cs.AR2016★ 80 cited

CLEAR: Cross-Layer Exploration for Architecting Resilience - Combining Hardware and Software Techniques to Tolerate Soft Errors in Processor Cores

Eric Cheng, Shahrzad Mirkhani, Lukasz G. Szafaryn +8

We present a first of its kind framework which overcomes a major challenge in the design of digital systems that are resilient to reliability failures: achieve desired resilience t…

cond-mat.mes-hall2013★ 9 cited

Computing with Non-equilibrium Ratchets

Mehdi Kabir, Dincer Unluer, Lijun Li +2

Electronic ratchets transduce local spatial asymmetries into directed currents in the absence of a global drain bias, by rectifying temporal signals that reside far from thermal eq…

cond-mat.mes-hall2011★ 3 cited

Graphene Nanoribbons: from chemistry to circuits

Frank Tseng, Dincer Unluer, Mircea R. Stan +1

The Y-chart is a powerful tool for understanding the relationship between various views (behavioral, structural, physical) of a system, at different levels of abstraction, from hig…

cond-mat.mes-hall2009★ 37 cited

Diluted chirality dependence in edge rough graphene nanoribbon field-effect transistors

Frank Tseng, DIncer Unlcer, Katherine Holcomb +2

We investigate the role of various structural nonidealities on the performance of armchair-edge graphene nanoribbon field effect transistors (GNRFETs). Our results show that edge r…

cond-mat.mes-hall2008★ 23 cited

Monolithically Patterned Wide-Narrow-Wide All-Graphene Devices

Dincer Unluer, Frank Tseng, Avik W. Ghosh +1

We investigate theoretically the performance advantages of all-graphene nanoribbon field-effect transistors (GNRFETs) whose channel and source/drain (contact) regions are patterned…