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  • Volume 62, Issue 3 | Science China Materials | Springer Nature Link
    Science China Materials is a globally peer-reviewed journal encompassing all facets of materials science Cosponsored by the Chinese Academy of Sciences and
  • SCIENCE CHINA Materials
    Herein, we present a comprehensive review of the recent progress of ISC-based FPDs Firstly, key design principles for ISC-based FPDs are explored, encompassing material selection, fabrication technologies, device architectures, and textile integration strategies
  • Polyurethane networks based on disulfide bonds: from . . .
    Herein, we put forward a new strategy to develop the polyurethane networks which can present shape-memory effect and self-healing effect in independent way as well as simultaneous acting mode
  • scms-2018-0289_XML 1. - SciEngine
    Herein, we try to develop a material with both excellent shape memory and self-healing property, so we discuss shape-memory effect from low cross-linking to high cross-linking
  • Polyurethane networks based on disulfide bonds: from . . .
    Herein, we put forward a new strategy to develop the polyurethane networks which can present shape-memory effect and self-healing effect in independent way as well as simultaneous acting mode
  • Homogeneous Carbon Dot-Anchored Fe(III) Catalysts with Self-Regulated . . .
    Fenton chemistry has been widely studied in a broad range from geochemistry, chemical oxidation to tumor chemodynamic therapy It was well established that Fe3+ H2O2 resulted in a sluggish initial rate or even inactivity Herein, we report the homogeneous carbon dot-anchored Fe(III) catalysts (CD-COOFeIII) wherein CD-COOFeIII active center activates H2O2 to produce hydroxyl radicals (•OH
  • Orchestrating the post‑silicon revolution of electronics through . . .
    Integrating material intelligence into the construction of each module demonstrates significant advantages and broad prospects, but it also presents considerable challenges This requires the effective combination of smart materials with traditional artificial intelligence (AI)-based silicon-based integrated circuits
  • Science China Materials 2018年封面文章集锦_Devesh
    Science China Materials 2018 Cover Collections 01 李江旭, 马会, 谢庆, 封少波, Sami Ullah, 李荣汉, 董俊华, 李殿中, 李依依, 陈星秋 Sci China Mater 61 (1), 23-29 (2018) 02 江丽丽, 盛利志, 范壮军 Sci China Mater 61 (2), 133-158 (2018) 03 叶嘉文, 周学宏, 王昱, 黄瑞康, 周浩龙, 程小宁, 马於光, 张杰鹏 Sci China Mater 61 (3), 424-428 (2018) 04 李述军, 李小康, 侯文韬, Krishna C Nune, R Devesh K


















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