Graduate Student in Physics, University of Illinois Urbana-Champaign (2024-current)

Graduate Student in Applied Physics, Rice University (2019-2023)

M.S. in Applied Physics, Rice University (2022)

B.S. in Physics, Ritsumeikan University (2019)

Research Interests

My 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.

Master’s Thesis

Gold Nanorod Size Prediction from Spectra Assisted by Machine Learning.

Publications

1. J. Lin, K. Shiratori, C. A. West, A. Al-Zubeidi, Z. Jia, H. Oh, S. Link, C. F. Landes, Competition between Hot Carriers and Surface Electrochemistry in Gold Nanorod Dissolution, J. Phys. Chem. C,  129, 22, 10154–10162 (2025).
2. K. Shiratori, C. A. West, Z. Jia, S. A. Lee, E. A. Cook, C. J. Murphy, C. F. Landes, S. Link, Machine Learning to Adaptively Predict Gold Nanorod Sizes on Different Substrates, J. Phys. Chem. C, 129, 12, 5913–5920 (2025).
3. K. Shiratori, L. D. C. Bishop, B. Ostovar, R. Baiyasi, Y.-Y. Cai, P. J. Rossky, C. F. Landes, and S. Link, Machine-Learned Decision Trees for Predicting Gold Nanorod Sizes from Spectra, J. Phys. Chem. C, 125 (35), 19353 (2021).