Hiroyuki | Hayashi Laboratory

[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 protein adsorption on model organic surfaces: from self-assembled monolayers to polymer surfaces. In MRM 2021: Yokohama, 2021.

[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 superlattice of long-range and highly ordered alicyclic selenolate monolayers on Au(111) studied by scanning tunneling microscopy. Applied Surface Science 2021.

[paper accepted] Chemical force mapping of nanoparticle-embedded fibers

Chemical force spectroscopic mapping of nanoparticle-embedded polyester fiber by atomic force microscopy. T. Nakamura, E. A. Q. Mondarte, H. Tahara, R. Chang,T. Hayashi. Molecular Crystals and Liquid Crystals 2021. Paper by President Taichi Nakamura from VENEX!

[Paper accepted] Molecular Recognition Imaging

Visualization of molecular binding sites at the nanoscale in the lift-up mode by amplitude-modulation atomic force microscopy. T. Maekawa, T. Nyu, E. A. Q. Mondarte, H. Tahara, K. Suthiwanich,T. Hayashi. Nanoscale 2021.

[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. Tahara, K. Suthiwanich, S. Song, F. Wang, T. Hayashi. Sensors and Materials 2020.

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 screening and designRudolf Jason Kwaria, Evan Angelo Quimada Mondarte, Hiroyuki Tahara, Ryongsok Chang, and Tomohiro Hayashihttps://pubs.acs.org/doi/abs/10.1021/acsbiomaterials.0c01008has been introduced in the following WEB sites so far. [In japanese]2020年9月1日付化学工業日報1面https://www.titech.ac.jp/https://www.titech.ac.jp/news/2020/047725.htmlhttps://educ.titech.ac.jp/mat/news/2020_09/059568.htmlhttp://www.ccsnews.jp/ccs2/2020/3q/2020_3Qtokyotechhayashiddpproteinadsorption.htm[製薬オンライン] https://seiyakuonlinenews.com/news/380023/[non-Japanese]https://www.asianscientist.com/2020/10/in-the-lab/ai-boosts-biomaterials-design/https://www.titech.ac.jp/english/news/2020/047656.htmlhttps://educ.titech.ac.jp/mat/eng/news/2020_09/059565.htmlhttps://www.theweek.in/news/sci-tech/2020/08/26/a-leap-forward-for-ai-driven-biomaterial-design.htmlhttps://phys.org/news/2020-08-biomaterials-ai.html

[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 self-assembled monolayers toward material screening and design.”ACS Biomaterials Science & Engineering 2020, in print.

「応用物理」の表紙に掲載されました

Evan Angelo Quimada Mondarteを中心とした我々の研究が応用物理学会の機関誌「応用物理」の表紙で紹介されました。生体分子の特異的結合の分子間相互作用の揺らぎを原子間力顕微鏡を用いて、超高速に観測した世界初の結果です。

[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 octanethiol and octyl thiocyanate on Au(111). Noh, J.; Choi, Y.; Seon, S.; Han, S.; Son, Y. J.; Mondarte, E. A. Q.; Tahara, H.; Song, S.; Hayashi, T., Thin Solid Films 2020, in print.

(日本語総説) 生体分子で作る生体分子を吸着しない表面

A work by Ryongsok Chang, Evan Angelo Quimada Mondarte, Elisa Margarita Mendoza Zamarripa, and Hiroyuki Tahara has been accepted for the publication in 「表面と真空」生体分子で作る抗付着性表面. 張嶺碩, E. A. Mondarte, E. Mendoza, 田原寛之,林智広. 表面と真空 2020, in print.