Faster and more accurate geometrical-optics optical force calculation using neural networks
David Bronte Ciriza, Alessandro Magazzù, Agnese Callegari, Gunther Barbosa, Antonio A. R. Neves, Maria A. Iatì, Giovanni Volpe, Onofrio M. Maragò
ACS Photonics, 2022
Optical forces are often calculated by discretizing the trapping light beam into a set of rays and using geometrical optics to compute the exchange of momentum. However, the number of rays sets a trade-off between calculation speed and accuracy. Here, we show that using neural networks permits one to overcome this limitation, obtaining not only faster but also more accurate simulations. We demonstrate this using an optically trapped spherical particle for which we obtain an analytical solution to use as ground truth. Then, we take advantage of the acceleration provided by neural networks to study the dynamics of an ellipsoidal particle in a double trap, which would be computationally impossible otherwise.
Antonio Alvaro Ranha Neves is a Visiting Professor from the Federal University of ABC in Brazil. His visiting position is financed through a FAPESP-ERC grant. He will visit us for 4 months from May 12, 2018, to September 12, 2018.
He works mainly with optical tweezers studying optical forces with both experimental and theoretical tools.
He obtained his Ph.D. in physics in 2006, at the State University of Campinas (Brazil). From 2006 to 2012, he worked as a postdoctoral researcher at the National Nanotechnology Laboratories of the Nanoscience Institute in Lecce (Italy), within the Soft-matter division. Since 2012, he is a professor at the Federal University of ABC (Brazil), accredited in the graduate program of Nanoscience and Advanced Materials.
His main research interest is in the field of light-matter interaction, with a special focus on the applications of optical tweezers as well as linear and multi-photon spectroscopy as well. His current line of research is the study of bull sperm motility with optical tweezers, and starting the characterization of thermal properties of metallic nanoparticles in optical traps.