Welcome to Data-driven Polymer Design group
Polymers are materials of diversity.
Various factors such as mechanical properties, thermophysical properties, and electronic and optical functions are intricately intertwined to create the unique characteristics of polymers.
For this reason, the development of polymer materials has been a field where the experience and intuition of researchers and engineers have been the key.
The essence of our challenge lies in how far data science can penetrate into the complexity of polymer materials.
Using data and creating data. Each one is a new challenge, but we are working toward the paradigm shift that lies ahead, creating an innovative scheme for the development of polymeric materials.
News
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2024/01/23NwesMember page has been updated.
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2023/10/24News
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2023/7/4NewsEndar HIDAYAT (Prefectural University of Hiroshima)joined us as NIMS internship student.
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2023/6/13WorkBio-Inspired Adhesive with Reset-On Demand, Reuse-Many (RORM) Modes
Advanced Functional Materials
Siqian Wang, Wei Hsun Hu, Yasuyuki Nakamura, Nanami Fujisawa, Ane Eline Herlyng, Mitsuhiro Ebara, Masanobu Naito -
2023/6/13WorkMachine learning of organic solvents reveals an extraordinary axis in Hansen space as indicator of spherical precipitation of polymers, in collaboration with Prof. Y, Yamamoto, Tsukuba University.
Aggregate
Yuta Ihara, Hiroshi Yamagishi, Masanobu Naito, Yohei Yamamoto -
2023/6/1NewsDr. Mete Sourav joined us as a NIMS postdoc fellow.
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2023/6/1NewsDr. Nishant Kumar joined us as a NIMS postdoc fellow.