Results 11 to 20 of about 423,544 (262)
Inverse design in photonic crystals
NanophotonicsPhotonic crystals are periodic dielectric structures that possess a wealth of physical characteristics. Owing to the unique way they interact with the light, they provide new degrees of freedom to precisely modulate the electromagnetic fields, and have ...
Deng Ruhuan, Liu Wenzhe, Shi Lei
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HiLAB: A Hybrid Inverse-Design Framework. [PDF]
Small MethodsAbstract HiLAB ( H ybrid i nverse‐design with L atent‐space learning, A djoint‐based partial optimizations, and B
Marzban R +3 more
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Inverse-designed spinodoid metamaterials [PDF]
npj Computational Materials, 2020 AbstractAfter a decade of periodic truss-, plate-, and shell-based architectures having dominated the design of metamaterials, we introduce the non-periodic class of spinodoid topologies. Inspired by natural self-assembly processes, spinodoid metamaterials are a close approximation of microstructures observed during spinodal phase separation.
Siddhant Kumar +3 more
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Inverse-designed diamond photonics [PDF]
Nature Communications, 2019 AbstractDiamond hosts optically active color centers with great promise in quantum computation, networking, and sensing. Realization of such applications is contingent upon the integration of color centers into photonic circuits. However, current diamond quantum optics experiments are restricted to single devices and few quantum emitters because ...
Constantin Dory +12 more
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Inverse design of multicomponent assemblies [PDF]
The Journal of Chemical Physics, 2018 Inverse design can be a useful strategy for discovering interactions that drive particles to spontaneously self-assemble into a desired structure. Here, we extend an inverse design methodology—relative entropy optimization—to determine isotropic interactions that promote assembly of targeted multicomponent phases, and we apply this extension to design ...
William D. Piñeros +3 more
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Diffusion Generative Inverse Design
CoRR, 2023 Inverse design refers to the problem of optimizing the input of an objective function in order to enact a target outcome. For many real-world engineering problems, the objective function takes the form of a simulator that predicts how the system state will evolve over time, and the design challenge is to optimize the initial conditions that lead to a ...
Marin Vlastelica +5 more
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Mixed integer neural inverse design
ACM Transactions on Graphics, 2022 In computational design and fabrication, neural networks are becoming important surrogates for bulky forward simulations. A long-standing, intertwined question is that of inverse design: how to compute a design that satisfies a desired target performance?
Ansari, N. +2 more
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Guided diffusion for inverse molecular design
Nature Computational Science, 2023 The holy grail of materials science is de novo molecular design -- i.e., the ability to engineer molecules with desired characteristics. Recently, this goal has become increasingly achievable thanks to developments such as equivariant graph neural networks that can better predict molecular properties, and to the improved performance of generation tasks,
Tomer Weiss +5 more
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Metals, 2019 Data generated for the Ti−Al−Cr−V system of metallic alloys from our previous publication, where the composition of 102 alloys were computationally Pareto optimized with the objective of simultaneously maximizing the Young’s ...
Rajesh Jha, George S. Dulikravich
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Deep Learning and Adjoint Method Accelerated Inverse Design in Photonics: A Review
Photonics, 2023 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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