Researching | Inverse design of digital nanophotonic devices using the adjoint method

Journals >Photonics Research >Volume 8 >Issue 4 >Page 528 > Article

Photonics Research
Vol. 8, Issue 4, 528 (2020)

Inverse design of digital nanophotonic devices using the adjoint method | On the Cover

Kaiyuan Wang^1、†, Xinshu Ren^1、†, Weijie Chang¹, Longhui Lu¹, Deming Liu¹, and Minming Zhang^1、2、*

Author Affiliations

¹School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China

²Wuhan National Laboratory for Optoelectronics, Wuhan 430074, China

show less

DOI: 10.1364/PRJ.383887 Cite this Article Set citation alerts

Kaiyuan Wang, Xinshu Ren, Weijie Chang, Longhui Lu, Deming Liu, Minming Zhang. Inverse design of digital nanophotonic devices using the adjoint method[J]. Photonics Research, 2020, 8(4): 528 Copy Citation Text

show less

References

[1] J. S. Jensen, O. Sigmund. Topology optimization for nano-photonics. Laser Photon. Rev., 5, 308-321(2011).

[2] A. Y. Piggott, J. Lu, K. G. Lagoudakis, J. Petykiewicz, T. M. Babinec, J. Vučković. Inverse design and demonstration of a compact and broadband on-chip wavelength demultiplexer. Nat. Photonics, 9, 374-377(2015).

[3] L. Su, A. Y. Piggott, N. V. Sapra, J. Petykiewicz, J. Vučković. Inverse design and demonstration of a compact on-chip narrowband three-channel wavelength demultiplexer. ACS Photon., 5, 301-305(2017).

[4] D. Vercruysse, N. V. Sapra, L. Su, R. Trivedi, J. Vučković. Analytical level set fabrication constraints for inverse design. Sci. Rep., 9, 8999(2019).

[5] C. M. Lalau-Keraly, S. Bhargava, O. D. Miller, E. Yablonovitch. Adjoint shape optimization applied to electromagnetic design. Opt. Express, 21, 21693-21701(2013).

[6] L. Lu, D. Liu, F. Zhou, D. Li, M. Cheng, L. Deng, S. Fu, J. Xia, M. Zhang. Inverse-designed single-step-etched colorless 3-dB couplers based on RIE-lag-insensitive PhC-like subwavelength structures. Opt. Lett., 41, 5051-5054(2016).

[7] K. Xu, L. Liu, X. Wen, W. Sun, N. Zhang, N. Yi, S. Sun, S. Xiao, Q. Song. Integrated photonic power divider with arbitrary power ratios. Opt. Lett., 42, 855-858(2017).

[8] A. Y. Piggott, J. Petykiewicz, L. Su, J. Vučković. Fabrication-constrained nanophotonic inverse design. Sci. Rep., 7, 1786(2017).

[9] Y. Deng, J. G. Korvink. Topology optimization for three-dimensional electromagnetic waves using an edge element-based finite-element method. Proc. R. Soc. A, 472, 20150835(2016).

[10] B. Shen, P. Wang, R. Polson, R. Menon. An integrated-nanophotonics polarization beamsplitter with 2.4 × 2.4 μm² footprint. Nat. Photonics, 9, 378-382(2015).

[11] Z. Yu, H. Cui, X. Sun. Genetic-algorithm-optimized wideband on-chip polarization rotator with an ultrasmall footprint. Opt. Lett., 42, 3093-3096(2017).

[12] L. F. Frellsen, Y. Ding, O. Sigmund, L. H. Frandsen. Topology optimized mode multiplexing in silicon-on-insulator photonic wire waveguides. Opt. Express, 24, 16866-16873(2016).

[13] W. Chang, L. Lu, X. Ren, D. Li, Z. Pan, M. Cheng, D. Liu, M. Zhang. Ultra-compact mode (de)multiplexer based on subwavelength asymmetric Y-junction. Opt. Express, 26, 8162-8170(2018).

[14] J. Lu, J. Vučković. Nanophotonic computational design. Opt. Express, 21, 13351-13367(2013).

[15] H. Jia, T. Zhou, X. Fu, J. Ding, L. Yang. Inverse-design and demonstration of ultracompact silicon meta-structure mode exchange device. ACS Photon., 5, 1833-1838(2018).

[16] B. Shen, R. Polson, R. Menon. Metamaterial-waveguide bends with effective bend radius <λ₀/2. Opt. Lett., 40, 5750-5753(2015).

[17] Z. Xie, T. Lei, F. Li, H. Qiu, Z. Zhang, H. Wang, C. Min, L. Du, Z. Li, X. Yuan. Ultra-broadband on-chip twisted light emitter for optical communications. Light Sci. Appl., 7, 18001-18006(2018).

[18] R. E. Christiansena, J. Vester-Petersenb, S. P. Madsenb, O. Sigmund. A non-linear material interpolation for design of metallic nano-particles using topology optimization. Comput. Methods Appl. Mech. Engrg., 343, 23-29(2019).

[19] M. H. Tahersima, K. Kojima, T. Koike-Akino, D. Jha, B. Wang, C. Lin, K. Parsons. Deep neural network inverse design of integrated photonic power splitters. Sci. Rep., 9, 1368(2019).

[20] Y. Kiarashinejad, S. Abdollahramezani, M. Zandehshahvar, O. Hemmatyar, A. Adibi. Deep learning reveals underlying physics of light–matter interactions in nanophotonic devices. Adv. Theory Simul., 2, 1900088(2019).

[21] Y. Kiarashinejad, M. Zandehshahvar, S. Abdollahramezani, O. Hemmatyar, R. Pourabolghasem, A. Adibi. Knowledge discovery in nanophotonics using geometric deep learning. Adv. Intell. Syst., 1, 1900132(2019).

[22] A. M. Hammond, R. M. Camacho. Designing integrated photonic devices using artificial neural networks. Opt. Express, 27, 29620-29628(2019).

[23] S. Chugh, S. Ghosh, A. Gulistan, B. M. A. Rahman. Machine learning regression approach to the nanophotonic waveguide analyses. J. Lightwave Technol., 37, 6080-6089(2019).

CLP Journals

[1] Yangming Ren, Lingxuan Zhang, Weiqiang Wang, Xinyu Wang, Yufang Lei, Yulong Xue, Xiaochen Sun, Wenfu Zhang. Genetic-algorithm-based deep neural networks for highly efficient photonic device design[J]. Photonics Research, 2021, 9(6): B247

Figures&Tables (4)

References (23)

Copy Citation Text

Kaiyuan Wang, Xinshu Ren, Weijie Chang, Longhui Lu, Deming Liu, Minming Zhang. Inverse design of digital nanophotonic devices using the adjoint method[J]. Photonics Research, 2020, 8(4): 528

Download Citation

Set citation alerts for the article

Set citation alerts for the article

Save the article for my favorites

Paper Information

Recommended Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology

Set citation alerts for the article

Please enter your email address