2 citations · 2 across the 3 of their papers we have counts for
3 papers
Differentiating through binarized topology changes: Second-order subpixel-smoothed projection
Giuseppe Romano, Rodrigo Arrieta, Steven G. Johnson
A key challenge in topology optimization (TopOpt) is that manufacturable structures, being inherently binary, are non-differentiable, creating a fundamental tension with gradient-b…
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…
Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport
Lu Lu, Raphael Pestourie, Steven G. Johnson +1
Deep neural operators can learn operators mapping between infinite-dimensional function spaces via deep neural networks and have become an emerging paradigm of scientific machine l…