High-speed identification of suspended carbon nanotubes using Raman spectroscopy and deep learning

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PSI and North Carolina State University are developing a high-resolution multi-physics core solver for Pressurized Water Reactor (PWR) analysis in Cartesian geometry, using the neutron transport code nTRACER and two Machine Learning (ML) models providing t ...

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Single-walled carbon nanotubes (SWCNTs) generate near-infrared fluorescence that is useful for biomedical and environmental optical sensing. They can be colloidally suspended by π-electron-rich biopolymers like DNA that self-assemble onto their surfaces. T ...

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We study the impact of the batch

n_b

on the iteration time

T

of training two-layer neural networks with one-pass stochastic gradient descent (SGD) on multi-index target functions of isotropic covariates. We characterize the optimal batch size minimizin ...

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Spontaneous vibrational Raman scattering is a ubiquitous form of light-matter interaction whose description necessitates quantization of the electromagnetic field. It is usually considered an incoherent process since it stems from the fluctuations of the v ...

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2024.Graph-based semi-supervised learning methods combine the graph structure and labeled data to classify unlabeled data. In this work, we study the effect of a noisy oracle on classification. In particular, we derive the maximum a posteriori (MAP) estima ...

High-speed identification of suspended carbon nanotubes using Raman spectroscopy and deep learning

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