activity
20202026
most citedHarnessing adaptive dynamics in neuro-memristive nanowire networks for transfer learning

14 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.ET2026

A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications

Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant +5

Ising machines---special-purpose hardware for heuristically solving Ising optimization problems---based on probabilistic bits (p-bits) have been established as a promising alternat…

cond-mat.dis-nn2023★ 14 cited

Ergodicity, lack thereof, and the performance of reservoir computing with memristive networks

Valentina Baccetti, Ruomin Zhu, Zdenka Kuncic +1

Networks composed of nanoscale memristive components, such as nanowire and nanoparticle networks, have recently received considerable attention because of their potential use as ne…

cond-mat.dis-nn2023

Memristive Reservoirs Learn to Learn

Ruomin Zhu, Jason K. Eshraghian, Zdenka Kuncic

Memristive reservoirs draw inspiration from a novel class of neuromorphic hardware known as nanowire networks. These systems display emergent brain-like dynamics, with optimal perf…

nlin.CG2022★ 2 cited

Ballistic deposition with memory: a new universality class of surface growth with a new scaling law

Ahmed Roman, Ruomin Zhu, Ilya Nemenman

Motivated by recent experimental studies in microbiology, we suggest a modification of the classic ballistic deposition model of surface growth, where the memory of a deposition at…

cond-mat.dis-nn2020★ 14 cited

Harnessing adaptive dynamics in neuro-memristive nanowire networks for transfer learning

Ruomin Zhu, Joel Hochstetter, Alon Loeffler +5

Nanowire networks (NWNs) represent a unique hardware platform for neuromorphic information processing. In addition to exhibiting synapse-like resistive switching memory at their cr…