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

Computation of correlated ionic transport properties from molecular dynamicsin the Green-Kubo formalism is expensive as one cannot rely on the affordablemean square displacement approach. We use spectral decomposition of theshort-time ionic displacement covariance to learn a set of diffusion eigenmodesthat encode the correlation structure and form a basis for analyzing the ionictrajectories. This allows to systematically reduce the uncertainty andaccelerate computations of ionic conductivity in systems with a steady-statecorrelation structure. We provide mathematical and numerical proofs of themethod's robustness, and demonstrate it on realistic electrolyte materials.

Spectral denoising for unsupervised analysis of correlated ionic transport