Work

Machine Learning-Assisted Sampling of SERS Substrates Improves Data Collection Efficiency: raw data and code

Year: 2021

Type: dataset

Abstract: Raw datasets and media accompanying the manuscript: Machine Learning-Assisted Sampling of SERS Substrates Improves Data Collection Efficiency: data, published in Applied Spectroscopy in 2021

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.5114696

Authors: Rojalin, Tatu, Antonio, Dexter, Kulkarni, Ambarish, Carney, Randy P.

Institution: University of California, Davis

Language: English

Topic: Gold and Silver Nanoparticles Synthesis and Applications

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393966497

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