activity
20242026
most citedOvercoming the curse of dimensionality: Enabling multi-layer photon transport with recurrent neural network

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

physics.optics2026

A three-phase framework for photon scattering in porous nanocomposites

Khalid Alhammadi, Daniel Carne, Xiulin Ruan

Light scattering in heterogeneous media underpins a broad range of natural phenomena and optical technologies, yet remains difficult to understand in porous nanocomposites. State-o…

physics.optics2026

A Fourier Neural Operator for Accelerated Discretization-Invariant Solutions of the Radiative Transfer Equation

Daniel Carne

The radiative transfer equation (RTE) governs thermal radiation in participating media, which is critical to modeling combustion, atmospheric, high-temperature, and radiative therm…

cond-mat.mtrl-sci2025

A Review of AI-Driven Approaches for Nanoscale Heat Conduction and Radiation

Ziqi Guo, Daniel Carne, Krutarth Khot +3

Heat conduction and radiation are two of the three fundamental modes of heat transfer, playing a critical role in a wide range of scientific and engineering applications ranging fr…

physics.optics2025★ 1 cited

Overcoming the curse of dimensionality: Enabling multi-layer photon transport with recurrent neural network

Daniel Carne, Ziqi Guo, Xiulin Ruan

Monte Carlo simulations are commonly used to calculate photon reflectance, absorptance, and transmittance of multi-layer scattering and absorbing media, but they can quickly become…

physics.comp-ph2024

FOS: A fully integrated open-source program for Fast Optical Spectrum calculations of nanoparticle media

Daniel Carne, Joseph Peoples, Ziqi Guo +4

FOS, which means light in Greek, is an open-source program for Fast Optical Spectrum calculations of nanoparticle media. This program takes the material properties and a descriptio…