Work in collaboration with Bar-Ilan University and Jerusalem College of Technology presenting a novel framework for modeling the optical properties of scanning probe tips, with implications for GAN based augmentation of near-field microscopy data, entitled “Rapid simulations of hyperspectral near-field images of three-dimensional heterogeneous surfaces–part II” has been published as a preprint on arXiv, and has been submitted for peer-review at Advanced Photonics Nexus. Representative figures:
Work in collaboration with Stony Brook University, Columbia University and IKERBASQUE presenting a novel method to model s-SNOM data, with implications for generation of synthetic near-field data and GAN training, entitled “Rapid simulations of hyperspectral near-field images of three-dimensional heterogeneous surfaces–part II” has been published in Optics Express. Representative figure:
Work in collaboration with Stony Brook University, Columbia University and IKERBASQUE presenting a novel method to model s-SNOM data, with implications for generation of synthetic near-field data and GAN training, entitled “Rapid simulations of hyperspectral near-field images of three-dimensional heterogeneous surfaces” has been published in Optics Express. Representative figures:
The OPTIGAN project has established a collaboration plan with Prof. Mengkun Liu’s group at the Stony Brook University, USA, and Prof. Gabriella Cincotti at Roma Tre, focusing on a joint work to augment optical imaging with artificial intelligence, with special emphasis on near-field nanoscopy
