Second (and fresh on arXiv!): "Physics-informed Bayesian optimization of high-order harmonic generation in gases" (led by Dominika Maslarova).We couple Gaussian-process Bayesian optimization to HarP across 2D and 4D laser/gas parameter spaces (1st image: BO workflow). Encoding domain physics into the search-space parameterization—such as (pL, p/L) and log(pL), log(p/L)—speeds up convergence and reconstructs the global conversion-efficiency ridge rather than just isolated peaks (2nd image).📄 Abstract: https://arxiv.org/abs/2611.14119📥 PDF: https://arxiv.org/pdf/2611.14119💾 Data/Code: https://zenodo.org/records/24023613#BayesianOptimization #AttosecondScience #Physics #MachineLearning
Second (and fresh on arXiv!): "Physics-informed Bayesian optimization of high-order harmonic generation in gases" (led b...
