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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.

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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.
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Highly Networked Capsular Silica-Porphyrin Hybrid Nanostructures as Efficient Materials for Acetone Vapor Sensing.

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.
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Effect of Cationic Surfactant Micelles on Hydroxyapatite Nanocrystal Formation: An Investigation into the Inorganic–Organic Interfacial Interactions

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.
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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.
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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.