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A network of people is essential for promoting computational
materials science. Symposiums, workshops, training sessions,
cooperation with experimental researchers and other endeavors will
form a network of people who have an intense interest in the field,
researchers who will become the mainstay for scientific exploration,
and young scientists who will lead the way to the future.
Training is also an important role of CMSI. Initiative personnel are
actively engaged in curriculum development and education, training
the people who will support the new science of computational
materials science to operate supercomputers, write programs, and use
these programs to the fullest. CMSI also makes an effort to publicize
research achievements, personnel, software and data in the media and
on its website, working to become a center for communicating
information from Asia throughout the rest of the world.
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Kazufumi Sato
I'm using computer simulations to study atomic diffusion in alloys.Being able to conduct calculations at the atomic scale through CMSI will
go a long way toward helping us understand these phenomena.
3rd year Ph.D candidate,
Laboratory of Materials Modeling
Division of Materials Science and
Engineering
Graduate Institute of Engineering
Hokkaido University |
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Masafumi Udagawa
I'm attempting to determine how geometrical frustrations ̶ in other words, systems in which lattice structures prevent the emergence of simple ordered states ̶ can greatly change the properties of metals.
Research Associate
Department of Applied Physics
Graduate School of Engineering
The University of Tokyo |
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Nobuko Ohba
I'm working on multiscale simulations that can handle both electronic structure and molecular dynamics simultaneously. I'd like to make a
contribution to stimulate industry-academic cooperation as well.
Materials Design Lab.
Materials Fundamental Research Div.
Toyota Central R&D Labs., Inc. |
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Kazuya Ishimura
My goal is to develop methods and programs suitable for the large-scale parallel computation of highly accurate electronic structures in order to perform nanoscale molecular calculations.
Research Associate
Department of Computational Science
Graduate School of System
Informatics
Kobe University |
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Madhvendra Nath Tripathi
I'm trying to design next generation opto-electronic materials with cost effectiveness by first-principles study using computer simulation codes
based on density functional theory vis-à-vis exploration and explanation of the science of these materials at electronic level.
Postdoctoral Fellow
Institute for Materials Research
Tohoku University
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