Basic information of the Research Area

[Complex Flow]New Fluid Science for Understanding, Prediction and Control of Complex Flow and Transport Phenomena

Research Supervisor

Susumu GotoProfessor, Graduate School of Engineering Science, Osaka University

Strategic Objective

Comprehensive understanding and advanced prediction and control of complex transport phenomena

Overview

This research area aims to build a foundation for new fluid science that will help us to fundamentally clarify complex flow and transport phenomena and to establish more accurate predictions and advanced methods of control. To do this, we will make full use of environments and techniques for numerical flow simulation, which have undergone remarkable development in recent years; flow measurement techniques; and applied mathematical techniques that analyze the vast amounts of data obtained through these.
More specifically, we target research on all kinds of flow and transport phenomena, including momentum, heat, and materials transport due to turbulence; flow accompanying chemical reactions such as combustion; various environmental flow phenomena; flow and transport phenomena in living organisms; the transport and transfer phenomena of a variety of complex fluids; and transport phenomena of electromagnetic fluids. We will apply traditional fluid mechanics analysis techniques to these phenomena, but we will also make use of applied mathematical analysis, data science, numerical simulations, new experiments and measurement techniques, and more. By then mutually applying the knowledge gained by increasing the depth of research, we will contribute to the discovery of clues relating to the clarification of complex flow and transport phenomena, as well as the development of new fluid science that makes use of the strengths of each field.
Taking complex flow and transport as keywords, we will introduce perspectives with overarching views of several fields related to fluid dynamics in a broad sense, and encourage proactive interdisciplinary exchange between young researchers.

Research Area Advisors

Click here to see the List of Research Area Advisors

Schedule of Selection Process

Deadline for application 2023/05/30 at 12:00 noon, Japan time
Document-based review 2023/07/06
JST will contact to the interviewees no later than 2023/07/13
Interview-based review(※)
※Interview date and time will be assigned by JST.
2023/07/27・2023/07/28

Research Supervisor's Policy

Research Supervisor's Policy of this Research Area can be downloaded from below.