English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The electron-boson spectral density (or glue) function can be obtained frommeasured optical scattering rate by solving a generalized Allen formula, whichrelates the two quantities with an integral equation and is an inversionproblem. Thus far, numerical approaches, such as the maximum entropy method(MEM) and the least squares fitting method, have been applied for solving thegeneralized Allen formula. Here, we developed a new method to obtain the gluefunctions from the optical scattering rate using a machine learning approach(MLA). We found that the MLA is more robust against random noise compared withthe MEM. We applied the new developed MLA to experimentally measured opticalscattering rates and obtained reliable glue functions in terms of their shapesincluding the amplitudes. We expect that the MLA can be a useful and rapidmethod for solving other inversion problems, which may contain random noise.

Electron-boson spectral density functions of cuprates obtained from optical spectra via machine learning