3 papers
cond-mat.mes-hall2026
A Unified Multiscale Auxiliary PINN Framework for Generalized Phonon Transport
Roberto Riganti, Luca Dal Negro
Nanoscale thermal transport is governed by the phonon Boltzmann transport equation (BTE). However, simulating the sub-continuum dynamics remains computationally prohibitive due to…
physics.comp-ph2026
DDNet: A Unified Physics-Informed Deep Learning Framework for Semiconductor Device Modeling
Roberto Riganti, Matteo G. C. Alasio, Enrico Bellotti +1
The accurate modeling of semiconductor devices plays a critical role in the development of new technology nodes and next-generation devices. Semiconductor device designers largely…
physics.optics2024
Multiscale Physics-Informed Neural Networks for the Inverse Design of Hyperuniform Optical Materials
Roberto Riganti, Yilin Zhu, Wei Cai +2
In this article, we employ multiscale physics-informed neural networks (MscalePINNs) for the inverse design of finite-size photonic materials with stealthy hyperuniform (SHU) disor…