日本MRS年次大会での発表
MRS-Jにて以下の発表を行いました｡1. Tahara, H.; Chang, R.; Mondarte, E. A. Q.; Hayashi, T.,...
Tag: Hiroyuki
[confrence talk] Prediction of bioinertness of polymer-brush films using machine learning
The following talk was given in MRM 2021.Palai, D.; Chikami, S.; Maeda, S.; Hayashi, T. Data-driven prediction of...
[paper accepted] Monolayers with high-ordering in a long range.
Kang, H.; Jeong, H.; Seong, S.; Han, S.; Son, Y. J.; Tahara, H.; Hayashi, T.; Yoon, H. J.; Noh, J., Formation and...
[paper accepted] Chemical force mapping of nanoparticle-embedded fibers
Chemical force spectroscopic mapping of nanoparticle-embedded polyester fiber by atomic force microscopy. T. Nakamura,...
[Paper accepted] Molecular Recognition Imaging
Visualization of molecular binding sites at the nanoscale in the lift-up mode by amplitude-modulation atomic force...
[paper accepted] A review on AFM in nanobio science
Lab on a tip: atomic force microscopy as a versatile analytical tool for nano-bio science.E. A. Q. Mondarte, H....
News releases and appearance in media of our paper on AI-based material design (updating)
Our articles Data-driven prediction of protein adsorption on self-assembled monolayers toward material...
[paper accepted] Material Design using AI (machine learning)
Kwaria, R. J.; Mondarte, E. A.; Tahara, H.; Chang, R.; Hayashi, T., "Data-driven prediction of protein adsorption on...
「応用物理」の表紙に掲載されました
Evan Angelo Quimada...
[paper accepted] Mixed self-assembled monolayer consisting of two kinds of molecules
Scanning tunneling microscopy study on phase behavior of self-assembled monolayers formed by coadsorption of...
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