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M. Karttunen

4 papers hereh-index 4185 citations12 works total

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

author position
  • middle author2
  • last author2

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

fields
  • physics.bio-ph2
  • cond-mat.soft1
  • physics.comp-ph1
same name
  • M. Karttunen — 63 papers, h 64
  • M. Karttunen — 5 papers, h 10
  • M. Karttunen — 4 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 citedTowards Better Integrators for Dissipative Particle Dynamics Simulations

160 citations · 160 across the 4 of their papers we have counts for

collaborators

4 papers

physics.comp-ph2025

Parallel and GPU accelerated code for phase-field and reaction-diffusion simulations

Steven A. Silber, Mikko Karttunen

We present SymPhas 2.0, a major update of the compile-time symbolic algebra simulation framework SymPhas for phase-field and reaction-diffusion models. This release introduces sign…

physics.bio-ph2025

Living Capillary Bridges

Tytti Kärki, Senna Luntama, Yasamin Modabber +5

Biological tissues exhibit complex behaviors with their dynamics often resembling inert soft matter such as liquids, polymers, colloids, and liquid crystals. These analogies enable…

physics.bio-ph2025

From Radiation Dose to Cellular Dynamics: A Discrete Model for Simulating Cancer Therapy

Mirko Bagnarol, Gianluca Lattanzi, Jan Åström +1

Radiation therapy is one of the most common cancer treatments, and dose optimization and targeting of radiation are crucial since both cancerous and healthy cells are affected. Dif…

cond-mat.soft2000★ 160 cited

Towards Better Integrators for Dissipative Particle Dynamics Simulations

Gerhard Besold, Ilpo Vattulainen, Mikko Karttunen +1

Coarse-grained models that preserve hydrodynamics provide a natural approach to study collective properties of soft-matter systems. Here, we demonstrate that commonly used integrat…

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