東京工業大学 ライフエンジニアリングコース(材料系 C群)

大学院入学に関しての質問はメール(tomo”at”mac.titech.ac.jp)にて林まで連絡頂ければと思います。(“at”を@に変えてください)Zoom, Skype, BlueJeans, WebEXなどを用いた研究室説明も出来ますので、お気軽に連絡をください。





Exploring biointerfaces with our original analytical techniques

Our research targets are
1. Development of new experimental approaches to investigate various surfaces & interfaces
2. Understanding of molecular processes at biointerfaces
(interfaces between artificial surfaces and cells (or biomolecules). Starting from the elucidation of fundamental interfacial phenomena, we propose their applications in industrial fields.

We are a team of people from various fields and nationalities with various scientific backgrounds and pursue the state-of-the-art research in this interdisciplinary field.

We always welcome foreign students from abroad.

If you have interests in working with us as a master or PhD student, please contact Tomohiro Hayashi (tomo[@]mac.titech.ac.jp) (please remove [])

Department of Materials Science and Engineering
School of Materials and Chemical Technology

also TH belongs to

Course of Human Centered Science and Biomedical Engineering 
Tokyo Institute of Technology

Recent News

[paper accepted] Silver–Gold Bimetallic Nanoparticle–Decorated Nonwoven Mats for Potential Promotion of Wound Healing

Evaluation of Polyacrylonitrile Nonwoven Mats and Silver–Gold Bimetallic Nanoparticle–Decorated Nonwoven Mats for Potential Promotion of Wound Healing In Vitro and In Vivo and Bone Growth In Vitro.
Bai, M.-Y.; Ku, F.-Y.; Shyu, J.-F.; Hayashi, T.; Chia-Chun; Xuebao, W. H.,
Polymers 2021.

Collaboration with Prof. Bai@Nationnal Taiwan University of Science and Technology

[contributing & invited talks] MRS-J 2020

We finished the following presentations@MRS-J 2020.

E. A. Q. Mondarte, E. M. M. Zamarripa, R. Chang,T. Hayashi.
Probing the macromolecular crowding condition at the interfacial level using colloidal probe atomic force microscopy.

T. Hayashi.
Data-driven prediction of protein adsorption on self-assembled monolayers:
toward material screening and design.
In 第30MRS-J年次大会: online 2020.8th Dec

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 design
Rudolf Jason Kwaria, Evan Angelo Quimada Mondarte, Hiroyuki Tahara, Ryongsok Chang, and Tomohiro Hayashi
has 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
[製薬オンライン] https://seiyakuonlinenews.com/news/380023/