2 papers
cs.CE2026
Interpretable Meta-Learning for Multi-Objective Chemical Search
Antonio Varagnolo, Yulia Pimonova, Michael G. Taylor +2
Navigating the vast space of synthetically accessible molecules demands surrogate models that are interpretable and capable of handling multiple competing objectives at the same ti…
physics.comp-ph2026
Physics Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation
Antonio Varagnolo, Giuseppe Romano, Raphaël Pestourie
Designing materials with controlled heat flow at the nano-scale is central to advances in microelectronics, thermoelectrics, and energy-conversion technologies. At these scales, ph…