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Morita Lab
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A lab that numerically solves difficult engineering problems using parallel computing.

AboutAbout the lab
Large-scale parallel computing for numerical simulation
The Morita Lab studies numerical methods and parallel analysis systems for difficult problems that arise in engineering.
Phenomena such as solid deformation, fluid flow, and heat are written as governing equations, but few of them can be solved analytically, so solutions are obtained numerically on computers.
Difficult problems include large-scale problems, in which computation time and memory usage increase; ill-conditioned problems, in which solution accuracy and the convergence of iterative solvers deteriorate; and optimization problems, in which constraints make solutions hard to find.
The lab aims to solve such problems by combining deep knowledge of the academic field being analyzed with techniques in numerical methods and parallel computing.
Key terms
- Governing equation
- An equation that models phenomena such as solid deformation, fluid flow, and heat so that they can be treated mathematically
- Ill-conditioned problem
- A type of difficult problem in which solution accuracy decreases or the convergence of iterative solvers deteriorates
- Parallel computing
- A technique that uses specialized computers such as supercomputers to handle enormous amounts of computation and memory usage
- Domain decomposition method
- A procedure for running numerical simulations in parallel by dividing the computational data spatially
ResearchResearch themes
This lab studies the foundations needed to carry out large-scale numerical simulations that resolve complex physical phenomena in detail, using parallel computing on supercomputers and similar systems. The lab develops the necessary software itself.
View More ↗MembersFaculty
The members of the Morita Lab are faculty, administrative assistants, and master's and undergraduate students.As of 2026
- Assistant ProfessorNaoki Morita
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “High performance computing (HPC) data center ( )” ENERGY.GOV / Public domain (cropped)
- Numerical computing libraries for large-scale parallel computing: “Pleiades supercomputer racks 3” Oleg Alexandrov / CC BY-SA 4.0 (cropped)
- Related lab (三目研究室): “Bubble-rising” Atif Masood (FetchCFD) / CC BY 4.0 (cropped)
- Related lab (高分子材料工学研究室): “Testing Instruments for Packaging Materials” Lisapaulinet / CC BY-SA 4.0 (cropped)
- Related lab (亀田研究室): “Gas Laser Interferometer in the Electric Conversion Laboratory (GRC-1966-C-03919)” NASA Glenn Research Center / Public domain (cropped)
- Related lab (機械知能研究室): “Unraveling AI Complexity - A Comparative View of AI, Machine Learning, Deep Learning, and Generative AI” PopovaZhuhadar / CC BY-SA 4.0 (cropped)
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