Last modified: 2022-03-04 12:00:00
This is an international symposium on cutting-edge technology for material structure control and their applications. We invite Prof. Hsien-Yeh Chen of National Taiwan University who has won 2021 The SCEJ Award for Outstanding Asian Researcher and Engineer for the keynote speech of this symposium. We also invite domestic and foreign researchers working on the synthesis of porous organic-inorganic materials to discuss about the hierarchical structure control for functional expression. We hope this symposium will be fruitful and contribute to discuss the recent progress in design of advanced materials for application to separation, catalytic reaction, energy devices, electronics, and so on.
本セッションはオンラインのみでの実施です。(大会会場にライブ配信会場はありません。)
講演 時刻 | 講演 番号 | 講演題目/発表者 | キーワード | 分類 番号 | 受理 番号 |
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C 会場 ・ 第 1 日 | |||||
(13:20~14:40) (Chair: | |||||
C114 | [The SCEJ Award for Outstanding Asian Researcher and Engineer] Vapor-Phase Fabrication of Functional Polymers of Coatings and Porous Materials for Regenerative Medicine Applications | Vapor deposition Biomaterials Nanoparticles | K-1 | 211 | |
C116 | [Invited lecture] Monolithic Microhoneycombs of Functional Materials Synthesized Using Ice Crystals as the Template | Ice Templating Microhoneycomb Sol-Gel Method | K-1 | 227 | |
Break | |||||
(15:00~16:00) (Chair: | |||||
C119 | [Invited lecture] Hybridization of Redox-active materials inside the Pores of Porous Carbons for High-Performance Electrochemical Capacitors | Porous carbon Adsorption Electrochemical capacitors | K-1 | 32 | |
C120 | [Invited lecture] Design and synthesis of conjugated polymers for nature-inspired electronics and energy | Conjugated polymers Electronic skin Artificial photosynthesis | K-1 | 124 | |
(16:00~17:00) (Chair: | |||||
C122 | [Invited lecture] Atmospheric-pressure plasma-enhanced CVD synthesis of silica-based membranes for molecular separation | Plasma-enhanced CVD Silica membranes Membrane separation | K-1 | 210 | |
C123 | [Invited lecture] Nanoporous materials informatics: How data science can accelerate the exploratory search of efficient nanoporous (electro)catalysts | Zeolite Nanoporous materials Machine learning | K-1 | 310 |
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化学工学会第87年会(神戸)