activity
20032026
most citedMemory effects in complex materials and nanoscale systems

822 citations · 1.7k across the 25 of their papers we have counts for

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Showing cs.ETShow all

5 papers · 1 filter

cs.ET2023

Implementation of digital MemComputing using standard electronic components

Yuan-Hang Zhang, Massimiliano Di Ventra

Digital MemComputing machines (DMMs), which employ nonlinear dynamical systems with memory (time non-locality), have proven to be a robust and scalable unconventional computing app…

cs.ET2023

Reconfigurable cascaded thermal neuristors for neuromorphic computing

Erbin Qiu, Yuan-Hang Zhang, Massimiliano Di Ventra +1

While the complementary metal-oxide semiconductor (CMOS) technology is the mainstream for the hardware implementation of neural networks, we explore an alternative route based on a…

cs.ET2023

Hardware implementation of digital memcomputing on small-size FPGAs

Dyk Chung Nguyen, Yuan-Hang Zhang, Massimiliano Di Ventra +1

Memcomputing is a novel computing paradigm beyond the von-Neumann one. Its digital version is designed for the efficient solution of combinatorial optimization problems, which emer…

cs.ET202045 cited

Efficient Solution of Boolean Satisfiability Problems with Digital MemComputing

S. R. B. Bearden, Y. R. Pei, M. Di Ventra

Boolean satisfiability is a propositional logic problem of interest in multiple fields, e.g., physics, mathematics, and computer science. Beyond a field of research, instances of t…

cs.ET2018

Stress-testing memcomputing on hard combinatorial optimization problems

Forrest Sheldon, Pietro Cicotti, Fabio L. Traversa +1

Memcomputing is a novel paradigm of computation that utilizes dynamical elements with memory to both store and process information on the same physical location. Its building block…