Search Results for author: Giovanni Finocchio

Found 6 papers, 1 papers with code

Physics-inspired Ising Computing with Ring Oscillator Activated p-bits

no code implementations15 May 2022 Navid Anjum Aadit, Andrea Grimaldi, Giovanni Finocchio, Kerem Y. Camsari

Our results highlight the promise of massively scaled p-computers with millions of free-running p-bits made out of nanoscale building blocks such as stochastic magnetic tunnel junctions.

Role of magnetic skyrmions for the solution of the shortest path problem

no code implementations4 Mar 2021 Riccardo Tomasello, Anna Giordano, Francesca Garesci, Giulio Siracusano, Salvatore De Caro, Caterina Ciminelli, Mario Carpentieri, Giovanni Finocchio

Magnetic skyrmions are emerging as key elements of unconventional operations having unique properties such as small size and low current manipulation.

Mesoscale and Nanoscale Physics

Field-free spin-orbit torque-induced switching of perpendicular magnetization in a ferrimagnetic layer with vertical composition gradient

no code implementations21 Jan 2021 Zhenyi Zheng, Yue Zhang, Victor Lopez-Dominguez, Luis Sánchez-Tejerina, Jiacheng Shi, Xueqiang Feng, Lei Chen, Zilu Wang, Zhizhong Zhang, Kun Zhang, Bin Hong, Yong Xu, Youguang Zhang, Mario Carpentieri, Albert Fert, Giovanni Finocchio, Weisheng Zhao, Pedram Khalili Amiri

Existing methods to do so involve the application of an in-plane bias magnetic field, or incorporation of in-plane structural asymmetry in the device, both of which can be difficult to implement in practical applications.

Mesoscale and Nanoscale Physics

The promise of spintronics for unconventional computing

no code implementations16 Oct 2019 Giovanni Finocchio, Massimiliano Di Ventra, Kerem Y. Camsari, Karin Everschor-Sitte, Pedram Khalili Amiri, Zhongming Zeng

Novel computational paradigms may provide the blueprint to help solving the time and energy limitations that we face with our modern computers, and provide solutions to complex problems more efficiently (with reduced time, power consumption and/or less device footprint) than is currently possible with standard approaches.

Applied Physics Mesoscale and Nanoscale Physics

Automatic crack classification by exploiting statistical event descriptors for Deep Learning

1 code implementation24 Jul 2019 Giulio Siracusano, Francesca Garescì, Giovanni Finocchio, Riccardo Tomasello, Francesco Lamonaca, Carmelo Scuro, Mario Carpentieri, Massimo Chiappini, Aurelio La Corte

In modern building infrastructures, the chance to devise adaptive and unsupervised data-driven health monitoring systems is gaining in popularity due to the large availability of big data from low-cost sensors with communication capabilities and advanced modeling tools such as Deep Learning.

General Classification

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