I’m a Ph.D. candidate at University of Illinois Urbana-Champaign, pursuing a Ph.D. in Physics with a Computational Science and Engineering concentration.
My main research interests involve the structure-property relationship of single plasmonic nanoparticles by developing machine learning/deep learning models and finite-different time-domain (FDTD) simulations.
Before UIUC, I received a B.S. degree in Physics from Ritsumeikan University and an M.S. degree in Applied Physics from Rice University.
Research Experiences
Link Research Group, Graduate Research Assistant January 2020 – present
Advisor: Prof. Stephan Link,
Department of Chemistry and Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Champaign, IL
• Pioneered a machine learning approach to predict single gold nanorod size from its simulated spectra, achieving the error of ~10% and overcoming the size limitation by width ~10 nm.
• Automated finite-different time-domain simulations of AuNRs with a variation of sizes and conditions using Ansys Lumerical FDTD scripts.
• Achieved ~70% acceleration in simulations on the high-performing computing clusters by optimizing workflows with Slurm and SGE job schedulers.
• Developed a domain adaptation method to predict gold nanorod size on different substrates, extending the applicability of the model.
Koreeda Research Group, Undergraduate Research Assistant April 2018 – June 2019
Advisor: Prof. Akitoshi Koreeda,
Department of Physical Science, Ritsumeikan University, Kusatsu, Shiga
Thesis: “Polarization-angle-resolved Raman spectroscopy on Pb(Zn1/3Nb2/3)O3-8%PbTiO3 under external electric field”
• Investigated responses of polar nanoregions to the external electric field with polarization-angle-resolved Raman Spectroscopy.
Publications
[1] Shiratori, K.; West, C. A.; Jia, Z.; Lee, S. A.; Cook, E. A.; Murphy, C. J.; Landes, C. F.; Link, S., Machine Learning to Adaptively Predict Gold Nanorod Sizes on Different Substrates. In Preparation.
[2] Shiratori, K.; Bishop, L. D. C.; Ostovar, B.; Baiyasi, R.; Cai, Y.-Y.; Rossky, P. J.; Landes, C. F.; Link, S., Machine-Learned Decision Trees for Predicting Gold Nanorod Sizes from Spectra. Journal of Physical Chemistry C 2021,125 (35), 19353-19361.
