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Deep Learning and Adjoint Method Accelerated Inverse Design in Photonics: A Review
For photonic applications, the inverse design method plays a critical role in the optimized design of photonic devices. According to its two ingredients, inverse design in photonics can be improved from two aspects: to find solutions to Maxwell’s ...
Zongyong Pan, Xiaomin Pan
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Inverse Design of Ultrathin Metamaterial Absorber [PDF]
Electromagnetic absorbers combining ultrathin profiles with robust absorptivity across wide incidence angles are essential for applications such as stealth applications, wireless communications, and quantum computing.
Eunbi Jang +3 more
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Accelerating bioelectrodechlorination via data-driven inverse design [PDF]
Microbial electrorespiration harnesses bacteria to drive reductive dechlorination, offering a sustainable method to remediate environments contaminated with persistent chlorinated organic pollutants (COPs).
Zhiling Li +4 more
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Machine learning-accelerated aerodynamic inverse design
The computational cost of iterative design methods has been a challenge in aerodynamics. In this research, the data-driven acceleration of an iterative inverse design method was implemented to reduce its computational cost.
Ahmad Shirvani +2 more
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Inverse-design magnonic devices
Inverse design is a recent development in photonics, where by locally controlling the refractive index in a matrix, nearly any information processing functionality can be achieved. Here, Wang et al.
Qi Wang, Andrii V. Chumak, Philipp Pirro
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In this work, we studied a Ti-Nb-Zr-Sn system for exploring novel composition and temperatures that will be helpful in maximizing the stability of β phase while minimizing the formation of α” and ω-phase. The Ti-Nb-Zr-Sn system is free of toxic elements.
Rajesh Jha, George S. Dulikravich
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Inverse Hamiltonian design by automatic differentiation
Obtaining a Hamiltonian that produces desired physical properties is important in materials design, that is, however, a highly nontrivial process since the parameter space is usually unknown a priori.
Koji Inui, Yukitoshi Motome
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Neural Inverse Design of Nanostructures (NIDN)
In the recent decade, computational tools have become central in material design, allowing rapid development cycles at reduced costs. Machine learning tools are especially on the rise in photonics.
Pablo Gómez +4 more
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All-Dielectric Metasurfaces Color Filter Arrays Designed by Evolutionary Search
Compared with traditional dyes, structural color has been studied widely due to several outstanding advantages. When choosing structural color materials, both metal and dielectric materials have great potential, however compared with metal, dielectric ...
Xiang Huang +8 more
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In this paper, we introduce a new hybrid optimization method for the inverse design of metasurfaces, which combines the original Harris hawks optimizer (HHO) with a gradient-based optimization method.
Kofi Edee
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