On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,042 papers · 148 categories

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5 results for “nanophotonics”

Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulationscs.LG

This work introduces benchmarks for evaluating nanophotonic structures in design simulations.

problem Design and understanding of nanophotonic structures for various applications.

method Development of frameworks and benchmarks for evaluating nanophotonic structures in parametric design problems.

result Strategic use of evaluation fidelity in enhancing structure designs.

nanophotonic structures electrodynamic simulations benchmarking parametric design optimization algorithms

2023-10-29abs ↗pdf ↗

Bayesian optimization with improved scalability and derivative information for efficient design of nanophotonic structuresphysics.comp-ph

Bayesian optimization improved for nanophotonic device design.

problem Scalability and derivative information limitations in Bayesian optimization.

method Combining forward shape derivatives and iterative inversion scheme.

result Optimal designs of nanophotonic devices achieved with fewer iterations.

Bayesian optimization nanophotonic structures derivative information scalability waveguide edge coupler

2021-01-08abs ↗pdf ↗

Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devicesphysics.optics

Deep learning simplifies nanophotonic device physics.

problem Understanding light-matter interactions in nanophotonic devices.

method Deep learning algorithm with dimensionality reduction.

result Extracts useful information about nanostructure features.

deep learning nanophotonics light-matter interaction dimensionality reduction metadevice

2019-05-07abs ↗pdf ↗

Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processescs.LG

We apply numerical methods in combination with finite-difference-time-domain (FDTD) simulations to optimize transmission properties of plasmonic mirror color filters using a multi-objective figure of merit over a five-dimensional parameter space by utilizing novel multi-fidelity Gaussian processes approach. We compare …

2018-11-15abs ↗pdf ↗

Machine Learning-Based Optimization of Chiral Photonic Nanostructures: Evolution- and Neural Network-Based Designphysics.optics

Designs chiral photonic structures using machine learning for efficient optical properties.

problem Optimizing chiral photonic nanostructures for light-matter interactions.

method Evolutionary algorithm and neural network approach for rapid optimization.

result Frequency-dependent modification in reflected light's degree of circular polarization.

chiral photonic nanostructures machine learning optical properties evolutionary algorithm neural network

2021-11-11abs ↗pdf ↗