yu Matsuda

准教授(任期付)

  • 316 Citations
  • 10 h-Index
20052019
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pressure sensitive paints Physics & Astronomy
Paint Engineering & Materials Science
accommodation coefficient Physics & Astronomy
Knudsen flow Physics & Astronomy
temperature sensitive paints Physics & Astronomy
Pressure measurement Engineering & Materials Science
pressure measurement Physics & Astronomy
Flow of gases Engineering & Materials Science

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Research Output 2005 2019

Effects of solvents for luminophore on dynamic and static characteristics of sprayable polymer/ceramic pressure-sensitive paint

Egami, Y., Konishi, S., Sato, Y. & Matsuda, Y., 2019 Feb 1, In : Sensors and Actuators, A: Physical. 286, p. 188-194 7 p.

Research output: Contribution to journalArticle

pressure sensitive paints
static characteristics
Paint
dynamic characteristics
Polymers

Electrophoretic Separation on an Origami Paper-Based Analytical Device Using a Portable Power Bank

Matsuda, Y., Sakai, K., Yamaguchi, H. & Niimi, T., 2019 Apr 10, In : Sensors (Basel, Switzerland). 19, 7

Research output: Contribution to journalArticle

Open Access
Equipment and Supplies
electrophoresis
Electrophoresis
containers
markers

Impact cratering on a granular bed by hydrogel spheres having intermediate property between solid and liquid

Matsuda, Y., Fukui, S., Kamiya, R., Yamaguchi, H. & Niimi, T., 2019 Mar 29, In : Physical Review E. 99, 3, 032906.

Research output: Contribution to journalArticle

Hydrogel
cratering
beds
Indentation
Liquid

Measurement of conductive heat transfer through rarefied binary gas mixtures

Yamaguchi, H., Hosoi, J., Matsuda, Y. & Niimi, T., 2019 Feb 1, In : Vacuum. 160, p. 164-170 7 p.

Research output: Contribution to journalArticle

accommodation coefficient
free molecular flow
Binary mixtures
Gas mixtures
conductive heat transfer
1 Citation (Scopus)

Estimation of diffusive states from single-particle trajectory in heterogeneous medium using machine-learning methods

Matsuda, Y., Hanasaki, I., Iwao, R., Yamaguchi, H. & Niimi, T., 2018 Jan 1, In : Physical Chemistry Chemical Physics. 20, 37, p. 24099-24108 10 p.

Research output: Contribution to journalArticle

machine learning
particle trajectories
Learning systems
Trajectories
trajectories