activity
20232026
most citedErgodicity, lack thereof, and the performance of reservoir computing with memristive networks

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

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Showing 2024Show all

5 papers · 1 filter

cond-mat.stat-mech2024

R-Ising: Effective resistance in random magnetic nanowires networks

Frank Barrows, Ezio Iacocca, Francesco Caravelli

Random assemblies of magnetic nanowires represent a unique class of materials with promising applications in spintronics and information storage. These assemblies exhibit complex b…

cond-mat.dis-nn2024★ 1 cited

Uncontrolled learning: co-design of neuromorphic hardware topology for neuromorphic algorithms

Frank Barrows, Jonathan Lin, Francesco Caravelli +1

Hardware-based neuromorphic computing remains an elusive goal with the potential to profoundly impact future technologies and deepen our understanding of emergent intelligence. The…

cond-mat.mes-hall2024

Memristive Linear Algebra

Jonathan Lin, Frank Barrows, Francesco Caravelli

The advent of memristive devices offers a promising avenue for efficient and scalable analog computing, particularly for linear algebra operations essential in various scientific a…

cond-mat.mes-hall2024★ 1 cited

Quantum graph models for transport in filamentary switching

Alison A. Silva, Fabiano M. Andrade, Francesco Caravelli

The formation of metallic nanofilaments bridging two electrodes across an insulator is a mechanism for resistive switching. Examples of such phenomena include atomic synapses, whic…

cond-mat.dis-nn2024★ 1 cited

Network analysis of memristive device circuits: dynamics, stability and correlations

Frank Barrows, Forrest C. Sheldon, Francesco Caravelli

Networks with memristive devices are a potential basis for the next generation of computing devices. They are also an important model system for basic science, from modeling nanosc…