Multi-objective, robust constraints enforced global topology optimizer for optical devices
Abstract
A method for optimization of photonic devices is disclosed. The method includes receiving a set of unconstrained latent variables; mapping the set of unconstrained latent variables to a constrained space to generate a constrained device; calculating the permittivity across each element of the constrained device; determining a permittivity-constrained width gradient based at least partially on the permittivity across each element; and optimizing the set of unconstrained latent variables by at least partially using the permittivity-constrained width gradient.
- Inventors:
- Issue Date:
- Research Org.:
- Stanford Univ., CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2293764
- Patent Number(s):
- 11796794
- Application Number:
- 17/317,624
- Assignee:
- The Board of Trustees of the Leland Stanford Junior University (Stanford, CA)
- DOE Contract Number:
- AR0001212
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 05/11/2021
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Fan, Jonathan, Jiang, Jiaqi, and Chen, Mingkun. Multi-objective, robust constraints enforced global topology optimizer for optical devices. United States: N. p., 2023.
Web.
Fan, Jonathan, Jiang, Jiaqi, & Chen, Mingkun. Multi-objective, robust constraints enforced global topology optimizer for optical devices. United States.
Fan, Jonathan, Jiang, Jiaqi, and Chen, Mingkun. Tue .
"Multi-objective, robust constraints enforced global topology optimizer for optical devices". United States. https://www.osti.gov/servlets/purl/2293764.
@article{osti_2293764,
title = {Multi-objective, robust constraints enforced global topology optimizer for optical devices},
author = {Fan, Jonathan and Jiang, Jiaqi and Chen, Mingkun},
abstractNote = {A method for optimization of photonic devices is disclosed. The method includes receiving a set of unconstrained latent variables; mapping the set of unconstrained latent variables to a constrained space to generate a constrained device; calculating the permittivity across each element of the constrained device; determining a permittivity-constrained width gradient based at least partially on the permittivity across each element; and optimizing the set of unconstrained latent variables by at least partially using the permittivity-constrained width gradient.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {10}
}
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