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M. Dijkstra

4 papers hereh-index 220 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.soft4
same name
  • M. Dijkstra — 33 papers, h 43
  • M. Dijkstra — 28 papers, h 61
  • M. Dijkstra — 2 papers, h 12
  • M. Dijkstra — 2 papers, h 17
  • M. Dijkstra — 2 papers, h 4
  • M. Dijkstra — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEnergy-efficient time series processing in real-time with fluidic iontronic memristor circuits

2 citations · 2 across the 2 of their papers we have counts for

collaborators

4 papers

cond-mat.soft2026

Nonlinear iontronic signal processing with neuromorphic Spike Rate-Dependent Plasticity

T. M. Kamsma, Y. Gu, D. Shi +4

We present an integrated iontronic memristor circuit that reproduces biologically inspired Spike Rate-Dependent Plasticity (SRDP) and functions as a physical nonlinear frequency ke…

cond-mat.soft2026★ 2 cited

Energy-efficient time series processing in real-time with fluidic iontronic memristor circuits

T. M. Kamsma, Y. Gu, C. Spitoni +3

Iontronic neuromorphic computing has emerged as a rapidly expanding paradigm. The arrival of angstrom-confined iontronic devices enables ultra-low power consumption with dynamics a…

cond-mat.soft2025

Neuromorphic Computing with Microfluidic Memristors

Nex C. X. Stuhlmüller, René van Roij, Marjolein Dijkstra

Conical microfluidic channels filled with electrolytes exhibit volatile memristive behavior, offering a promising platform for energy-efficient, neuromorphic computing. Here, we in…

cond-mat.soft2025

Intelligent Soft Matter: Towards Embodied Intelligence

Vladimir A. Baulin, Achille Giacometti, Dmitry Fedosov +24

Intelligent soft matter stands at the intersection of materials science, physics, and cognitive science, promising to change how we design and interact with materials. This transfo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.