activity
20172026
most citedClustering of Magnetic Swimmers in a Poiseuille Flow

55 citations · 183 across the 15 of their papers we have counts for

collaborators

15 papers

physics.bio-ph2026

Elastohydrodynamic coupling enhances flow generation by coordinated ciliary beating

Shota Nakano, Shinji Deguchi, Daiki Matsunaga

Ciliary arrays pump fluid at low Reynolds number through non-reciprocal beating and phase coordination between neighbouring cilia. Previous studies have demonstrated that antiplect…

physics.bio-ph2026

Tuning microswimmer motility by liposome encapsulation: swimming and cargo transport of Chlamydomonas-encapsulating liposome

Koichiro Akiyama, Sota Hamaguchi, Hiromasa Shiraiwa +4

Inspired by biology's use of vesicles for targeted transport, many studies have propelled liposomes with active matter, creating synthetic systems that can be viewed as microscale…

cond-mat.soft2026

Modeling bacterial flow field with regularized singularities

Yaochen Yang, Daiki Matsunaga, Da Wei +1

The flow field generated by a swimming bacterium serves as a fundamental building block for understanding hydrodynamic interactions between bacteria. Although the flow field genera…

cond-mat.soft2026

Cell-induced wrinkling patterns on soft substrates

Aleksandra Ardaševa, Varun Venkatesh, Daiki Matsunaga +2

Cells exert traction forces on compliant substrates and can induce surface instabilities that appear as characteristic wrinkling patterns. Here, we develop a mechanical description…

physics.bio-ph2025

Optimal Undulatory Swimming with Constrained Deformation and Actuation Intervals

Fumiya Tokoro, Hideki Takayama, Shinji Deguchi +2

In nature, many unicellular organisms are able to swim with the help of beating filaments, where local energy input leads to cooperative undulatory beating motion. Here, we investi…

cond-mat.soft2022★ 12 cited

Asymmetric bistability of chiral particle orientation in viscous shear flows

Andreas Zöttl, Francesca Tesser, Daiki Matsunaga +3

The migration of helical particles in viscous shear flows plays a crucial role in chiral particle sorting. Attaching a non-chiral head to a helical particle leads to a rheotactic t…

cond-mat.soft2021★ 10 cited

Field-controlling patterns of sheared ferrofluid droplets

Shunichi Ishida, Yaochen Yang, Fanlong Meng +1

We investigate how ferrofluid droplets suspended in a wall-bounded shear flow can organise when subjected to an external magnetic field. By tuning the magnitude of the external mag…

physics.bio-ph2021★ 1 cited

Wrinkle force microscopy: a new machine learning based approach to predict cell mechanics from images

Honghan Li, Daiki Matsunaga, Tsubasa S. Matsui +4

Combining experiments with artificial intelligence algorithms, we propose a new machine learning based approach to extract the cellular force distributions from the microscope imag…

cond-mat.stat-mech2020★ 20 cited

Magnetic microswimmers exhibit Bose-Einstein-like condensation

Fanlong Meng, Daiki Matsunaga, Benoît Mahault +1

We study an active matter system comprised of magnetic microswimmers confined in a microfluidic channel and show that it exhibits a new type of self-organized behavior. Combining a…

cond-mat.soft2020

Degenerate states, emergent dynamics and fluid mixing by magnetic rotors

Takuma Kawai, Daiki Matsunaga, Fanlong Meng +2

We investigate the collective motion of magnetic rotors suspended in a viscous fluid under an uniform rotating magnetic field. The rotors are positioned on a square lattice, and lo…

cs.LG2019★ 22 cited

Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis

Daiki Matsunaga, Toyotaro Suzumura, Toshihiro Takahashi

Recently, there has been a surge of interest in the use of machine learning to help aid in the accurate predictions of financial markets. Despite the exciting advances in this cros…

physics.bio-ph2019

Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet

Li Honghan, Daiki Matsunaga, Tsubasa S. Matsui +2

We propose an image-based cellular contractile force evaluation method using a machine learning technique. We use a special substrate that exhibits wrinkles when cells grab the sub…

cond-mat.soft2017★ 13 cited

Far-field theory for trajectories of magnetic ellipsoids in rectangular and circular channels

Daiki Matsunaga, Andreas Zöttl, Fanlong Meng +2

We report a method to control the positions of ellipsoidal magnets in flowing channels of rectangular or circular cross section at low Reynolds number.A static uniform magnetic fie…

cond-mat.soft2017★ 55 cited

Clustering of Magnetic Swimmers in a Poiseuille Flow

Fanlong Meng, Daiki Matsunaga, Ramin Golestanian

We investigate the collective behavior of magnetic swimmers, which are suspended in a Poiseuille flow and placed under an external magnetic field, using analytical techniques and B…

cond-mat.soft2017★ 50 cited

Focusing and sorting of ellipsoidal magnetic particles in microchannels

Daiki Matsunaga, Fanlong Meng, Andreas Zoettl +2

We present a simple method to control the position of ellipsoidal magnetic particles in microchannel Poiseuille flow using a static uniform magnetic field. The magnetic field is ut…