4 papers
Structural and physical properties of gyromorphs and disordered stealthy hyperuniform media
Murray Skolnick, Riccardo Franchi, Luca Dal Negro +2
Disordered stealthy hyperuniform materials combine liquid-like statistical isotropy with crystal-like homogeneity, suppressed density fluctuations at large length scales, bounded h…
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…
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…
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…