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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Optical forces are often calculated by discretizing the trapping light beaminto a set of rays and using geometrical optics to compute the exchange ofmomentum. However, the number of rays sets a trade-off between calculationspeed and accuracy. Here, we show that using neural networks permits one toovercome this limitation, obtaining not only faster but also more accuratesimulations. We demonstrate this using an optically trapped spherical particlefor which we obtain an analytical solution to use as ground truth. Then, wetake advantage of the acceleration provided by neural networks to study thedynamics of an ellipsoidal particle in a double trap, which would becomputationally impossible otherwise.

Faster and more accurate geometrical-optics optical force calculation using neural networks