APA (7th ed.) Citation

Hayashi, M., Hilfiker, J. N., Maekawa, T., Tampo, H., Koida, T., & Fujiwara, H. (2025). Highly accurate classification of material types from spectroscopic ellipsometry heatmap measurements using deep learning. Applied Physics Letters, 127(18), 1. https://doi.org/10.1063/5.0303070

Chicago Style (17th ed.) Citation

Hayashi, Masahiro, James N. Hilfiker, Takuji Maekawa, Hitoshi Tampo, Takashi Koida, and Hiroyuki Fujiwara. "Highly Accurate Classification of Material Types from Spectroscopic Ellipsometry Heatmap Measurements Using Deep Learning." Applied Physics Letters 127, no. 18 (2025): 1. https://doi.org/10.1063/5.0303070.

MLA (9th ed.) Citation

Hayashi, Masahiro, et al. "Highly Accurate Classification of Material Types from Spectroscopic Ellipsometry Heatmap Measurements Using Deep Learning." Applied Physics Letters, vol. 127, no. 18, 2025, p. 1, https://doi.org/10.1063/5.0303070.