K
Kota Shiba
Researcher at National Institute for Materials Science
Publications - 60
Citations - 959
Kota Shiba is an academic researcher from National Institute for Materials Science. The author has contributed to research in topics: Coating & Nanoporous. The author has an hindex of 13, co-authored 51 publications receiving 794 citations. Previous affiliations of Kota Shiba include Nagaoka University of Technology.
Papers
More filters
Journal ArticleDOI
Oxide-based inorganic/organic and nanoporous spherical particles: synthesis and functional properties
TL;DR: This paper reviews the recent progress in the preparation of oxide-based and heteroatom-doped particles, which are functionalized with organic molecules or doped with heteroatoms, the physicochemical properties of the particles and the possibilities for their photofunctional applications as complex systems.
Journal ArticleDOI
Highly Networked Capsular Silica-Porphyrin Hybrid Nanostructures as Efficient Materials for Acetone Vapor Sensing.
Izabela Osica,Izabela Osica,Gaku Imamura,Kota Shiba,Qingmin Ji,Qingmin Ji,Lok Kumar Shrestha,Jonathan P. Hill,Krzysztof J. Kurzydłowski,Genki Yoshikawa,Genki Yoshikawa,Katsuhiko Ariga +11 more
TL;DR: A novel hybrid nanosystem based on a highly networked silica nanoarchitecture conjugated through covalent bonding to an organic functional molecule, a tetraphenylporphyrin derivative, and its metal complexes is presented, showing excellent performance for acetone sensing at low operating temperatures (37 °C), making it available for diagnostic monitoring.
Journal ArticleDOI
Effect of Cationic Surfactant Micelles on Hydroxyapatite Nanocrystal Formation: An Investigation into the Inorganic–Organic Interfacial Interactions
Kota Shiba,Satoshi Motozuka,Tadashi Yamaguchi,Nobuhiro Ogawa,Yuichi Otsuka,Kiyoshi Ohnuma,Takuya Kataoka,Motohiro Tagaya +7 more
TL;DR: In this paper, the effects of Cetyltrimethylammonium bromide (CTAB) micelles on the HAp nanocrystal formation process were investigated through both the morphosynthesis technique and the molecular orbital calculations.
Journal ArticleDOI
Data-driven nanomechanical sensing: specific information extraction from a complex system
TL;DR: It is reported for the first time that the nanomechanical sensing combined with machine learning realizes the specific information extraction, e.g. alcohol content quantification as a proof-of-concept, from the smells of liquors.
Journal ArticleDOI
Focus on the interlude between topographic transition and cell response on shape-memory surfaces
TL;DR: In this paper, a shape-memory surface with on demand, tunable nano-patterns was developed to observe time dependent changes in fibroblast cell alignment using temperature-responsive poly(e-caprolactone) (PCL) films.