Emanuele Telari

Compact latent-space encoding of WGM microlaser spectra for fast and accurate sensing

The synergy between resonant photonics and artificial intelligence is emerging as a new paradigm capable of overcoming long-standing limitations of conventional methods used to analyze measurement outcomes. Automated data analysis is a crucial step in the development of fast, rel...

Bayesian Neural Networks versus deep ensembles for uncertainty quantification in machine learning interatomic potentials

Abstract Neural-network-based machine learning interatomic potentials have emerged as powerful tools for predicting atomic energies and forces, enabling accurate and efficient simulations in atomistic modeling. A key limitation of traditional deep learning approaches, however, is...