Kazuki Ishizaki　B.Sc.

D3

mail

kazuki.143@toki.waseda.jp

Academic Background

April, 2020 Entered Graduate School of Advanced Science and Engineering, Waseda Univ. March, 2020 Graduated from Department of Life Science and Medical Bioscience, Waseda Univ. April, 2016 Entered Department of Life Science and Medical Bioscience, Waseda Univ.

Group

Materials Informatics Group

Research Theme

Data-driven control of actuation Performance of photo-bending crystals

Research Keywords

organic crystal, machine learning-based regression

Membership

Scholarships/Grants

Academic Presentation

Awards

November, 2019 優秀ポスター賞　第28回有機結晶シンポジウム(香川大学)

Studying abroad

Papers

[4] Molecular screening for solid–solid phase transitions by machine learning
Daisuke Takagi, Kazuki Ishizaki, Toru Asahi, Takuya Taniguchi, Digital Discovery, 2023, advance article.

[3] Unraveling the Structural and Property Differences between Highly Similar Chiral and Racemic Crystals Composed of Analogous Molecules
Kazuki Ishizaki, Daisuke Takagi, Toru Asahi, Masahiro Kuramochi, Takuya Taniguchi, Cryst. Growth Des. 2023, 23, 5330–5337.

[2] Superelasticity of a photo-actuating chiral salicylideneamine crystal
Takuya Taniguchi, Kazuki Ishizaki, Daisuke Takagi, Kazuki Nishimura, Hiroki Shigemune, Masahiro Kuramochi, Yuji C. Sasaki, Hideko Koshima, Toru Asahi, Commun. Chem., 2022, 5, 4.

[1] Actuation Performance of a Photo-bending Crystal Modeled by Machine Learning-based Regression
Kazuki Ishizaki, Ryota Sugimoto, Yuki Hagiwara, Hideko Koshima, Takuya Taniguchi, Toru Asahi, CrystEngComm, 2021, 23, 5839–5847.

Others