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Home > Tenured Faculties > Hanasaki Itsuo

Tenured Faculties

Hanasaki Itsuo

Affiliation Institute of Engineering
Division Division of Advanced Mechanical Systems Engineering
Research field Applied mechanics / dynamics
Keyword(S) (Nonequilibrium) statistical mechanics, (Nonlinear) dynamical sysetms
Research experience

・Apr.2006-Mar.2007:Postdoctoral Researcher of ASTEM
・Apr.2007-Dec.2008:Postdoctoral Fellow (PD) of JSPS
・Jan.2009-Aug.2012:Assistant Professor at Kobe University
・Sep.2012-Jun.2015:Assistant Professor at Osaka University
・Jul.2015-Jun.2020: Associate professor, Tokyo University of Agriculture and Technology
・Jul.2020-Present: Associate Professor(Tenured), Tokyo University of Agriculture and Technology

Educational background

・2002:Bachelor's degree, Osaka University
・2003:Master's degree, Osaka University
・2006:Ph.D. in Engineering, Osaka University


* The latest information is shown at the member's website.
(At Jul. 2020)
・2002:School of Engineering Award, Osaka Univeristy
・2002:IA award
・2006:100 paper selection, Osaka University
・2014:JSME Young Engineers Award
・2015:Osaka University Presidential Awards for Encouragement
・2017:Sci. Technol. Adv. Mater., Editor's Choice Collection 2017.
・2017:Sci. Technol. Adv. Mater., Influential Papers 2017.
・2018:Collaboration Award from Tokyo University of Agriculture and Technology.
・ Adv., "Most popular articles published in Nanoscale Advances so far" Selection.
・2019:Visualization Society of Japan, Incentive Award.

Selected papers and publications

* The latest information is shown at the member's website.
(At Jul. 2020)
・Itsuo Hanasaki, Kazuki Okano, Hiroshi Y. Yoshikawa, and Teruki Sugiyama, "Spatiotemporal dynamics of laser-induced molecular crystal precursors visualized by particle image diffusometry”, Journal of Physical Chemistry Letters, Vol.10, pp.7452-7457, 2019.
・Itsuo Hanasaki, Takahiro Nemoto, and Yoshito Tanaka, “Soft trapping lasts longer: Dwell time of a Brownian particle varied by potential shape”, Physical Review E, Vol.99, 022119 (6pages), 2019.
・Reiji Motohashi and Itsuo Hanasaki, “Characterization of aqueous cellulose nanofiber dispersions from microscopy movie data of Brownian particles by trajectory analysis”, Nanoscale Advances, Vol.1, pp.421-429, 2019.
・Itsuo Hanasaki and Jens H. Walther, “Suspended particle transport through constriction channel with Brownian motion”, Physical Review E, Vol.96, 023109 (8 pages), 2017.
・Yuto Ooi, Itsuo Hanasaki*, Daiki Mizumura, and Yu Matsuda, “Suppressing the coffee-ring effect of colloidal droplets by dispersed cellulose nanofibers”, Science and Technology of Advanced Materials, Vol.18, pp.316-324, 2017.
・Itsuo Hanasaki and Yoshitada Isono, "Detection of diffusion anisotropy due to particle asymmetry from single-particle tracking of Brownian motion by the large-deviation principle", Physical Review E, Vol.85, 051134 (9 pages), 2012.
・Itsuo Hanasaki, Jens H. Walther, Satoyuki Kawano, and Petros Koumoutsakos, "Coarse-grained molecular dynamics simulations of shear-induced instabilities of lipid bilayer membranes in water", Physical Review E, Vol.82, 051602 (6 pages), 2010.
・Itsuo Hanasaki and Akihiro Nakatani, "Flow structure of water in carbon nanotubes: Poiseuille type or plug-like?", The Journal of Chemical Physics, Vol.124, 144708 (9 pages), 2006.

Research Description

Mechanical Engineering is based on various disciplines of mechanics and dynamics. We make emphasis on the viewpoints from statistical mechanics and dynamical systems theory, in order to make full use of the physical characteristics covering the nano/micro spatio-temporal scales. This is partly because the systems of interest show incessant thermal fluctuations, which has long been regarded as just a noise in the engineering context. However, the phenomena caused by thermal fluctuations such as Brownian motion are essential if it comes from the systems of interest themselves. In fact, such manifestation of thermal fluctuations often includes valuable information in the measurements. We are developing theoretical methods suitable for the big data of nano/micro systems. Our viewpoints are recently getting more and more appreciated from the experts of various development-oriented fields due to the necessity in the course of innovations.

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