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Bayesian inference for plasmonic nanometrology
Joseph M. Lukens,
Ali Passian
Quantum Sensing and Computing
Research output
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Contribution to journal
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Article
›
peer-review
3
Scopus citations
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Dive into the research topics of 'Bayesian inference for plasmonic nanometrology'. Together they form a unique fingerprint.
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Mathematics
Bayesian Inference
100%
Bayesian
50%
Markov Chain Monte Carlo
50%
Bayesian Model Comparison
50%
Light Particle
50%
Bayesian Estimate
50%
Model Selection
50%
Uncertainty Quantification
50%
Parameter Estimate
50%
Sampling Technique
50%
Observed Data
50%
Engineering
Nanoparticle
100%
Plasmonics
100%
Nanometrology
100%
Uncertainty Quantification
33%
Applicability
33%
Observed Data
33%
Scatterer
33%
Geometric Shape
33%
Monte Carlo Sampling Technique
33%
Parameter Estimate
33%
Field Problem
33%
Material Science
Nanoparticle
100%
Markov Chain Monte Carlo
33%