Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Two-Photon Neural Lithography Simulator-Reference-Cited by-同舟云学术

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Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Two-Photon Neural Lithography Simulator

Published:2023-12-10 Issue: Volume: Page:
ISSN:
Container-title:SIGGRAPH Asia 2023 Conference Papers
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Author:

Zheng Cheng¹^ORCID,Zhao Guangyuan²^ORCID,So Peter³^ORCID

Affiliation:

1. Department of Mechanical Engineering, Massachusetts Institute of Technology, United States of America and Laser Biomedical Research Center, Massachusetts Institute of Technology, USA

2. The Chinese University of Hong Kong, China

3. Department of Mechanical Engineering, Massachusetts Institute of Technology, United States of America and Department of Biological Engineering, Massachusetts Institute of Technology, USA

Funder

NIH (National Institutes of Health)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610548.3618251

Reference62 articles.

1. Graham Arthur and Brian Martin. 1996. Investigation of photoresist-specific optical proximity effect. Microelectronic engineering 30, 1-4 (1996), 133–136.

2. Computational design of nanostructural color for additive manufacturing

3. Yunhao Ba, Guangyuan Zhao, and Achuta Kadambi. 2019. Blending diverse physical priors with neural networks. arXiv preprint arXiv:1910.00201 (2019).

4. Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics

5. Sourangsu Banerji, Monjurul Meem, Apratim Majumder, Fernando Guevara Vasquez, Berardi Sensale-Rodriguez, and Rajesh Menon. 2019. Imaging with flat optics: metalenses or diffractive lenses?Optica 6, 6 (2019), 805–810.

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