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pro vyhledávání: '"Yusaku Kawagoe"'
Conditional Machine Learning-Based Inverse Design Across Multiple Classes of Nanophotonic Structures
Autor:
Benjamin Pham, Yusaku Kawagoe, David Ho, Christopher Yeung, Ryan Tsai, Brian King, Mark W. Knight, Aaswath Raman, Julia Liang
Publikováno v:
Conference on Lasers and Electro-Optics.
We present a machine learning-based photonics design strategy centered on encoding image colors with material and structural data. Given input target spectra, our model can accurately determine the optimal metasurface class, materials, and structure.
Autor:
Yusaku Kawagoe, Ju-Ming Tsai, Christopher Yeung, David Ho, Brian King, Mark W. Knight, Aaswath Raman
A central challenge in the development of nanophotonic structures is identifying the optimal design for a target functionality, and understanding the physical mechanisms that enable the optimized device's capabilities. Previously investigated design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f56ed22fe738b58b9ac52c9e535d9fc1
Publikováno v:
Frontiers in Optics / Laser Science.
Explainable machine learning algorithms were applied to convolutional neural networks to reveal deeper insights into the properties of metamaterials, demonstrating new avenues for physics discovery and device optimization in optics and photonics.
Autor:
Mark W. Knight, Yusaku Kawagoe, Brian King, Julia Liang, Benjamin Pham, David Ho, Christopher Yeung, Ryan Tsai, Aaswath Raman
Publikováno v:
Advanced Optical Materials. 9:2170079
Autor:
Aaswath Raman, Yusaku Kawagoe, Christopher Yeung, Brian King, Mark W. Knight, Julia Liang, Benjamin Pham, David Ho, Ryan Tsai
Publikováno v:
Advanced Optical Materials. 9:2100548
Understanding how nano- or micro-scale structures and material properties can be optimally configured to attain specific functionalities remains a fundamental challenge. Photonic metasurfaces, for instance, can be spectrally tuned through material ch
Elucidating the Behavior of Nanophotonic Structures through Explainable Machine Learning Algorithms.
Autor:
Yeung, Christopher, Ju-Ming Tsai, King, Brian, Yusaku Kawagoe, Ho, David, Knight, Mark W., Raman, Aaswath P.
Publikováno v:
ACS Photonics; 8/19/2020, Vol. 7 Issue 8, p2309-2318, 10p