Prediction of optical properties in particulate media using double optimization of dependent scattering and particle distribution

H Li, X Song, H Gong, L Tong, X Zhou, Z Wang… - Nano Letters, 2023 - ACS Publications
The prediction of optical properties dominated by light scattering in particulate media
composed of high-concentration and polydisperse particles is greatly important in various …

Sampling-accelerated prediction of phonon scattering rates for converged thermal conductivity and radiative properties

Z Guo, Z Han, D Feng, G Lin, X Ruan - npj Computational Materials, 2024 - nature.com
The prediction of thermal conductivity and radiative properties is crucial. However,
computing phonon scattering, especially for four-phonon scattering, could be prohibitively …

[HTML][HTML] Advances in materials informatics for tailoring thermal radiation: A perspective review

J Guo, J Shiomi - Next Energy, 2024 - Elsevier
Materials informatics has emerged as a powerful tool for the discovery, design, and
optimization of materials with tailored thermal radiative properties. This perspective review …

True benefits of multiple nanoparticle sizes in radiative cooling paints identified with machine learning

D Carne, J Peoples, F Arentz, X Ruan - … Journal of Heat and Mass Transfer, 2024 - Elsevier
Previous works find that multiple nanoparticle sizes in radiative cooling paints increase solar
reflectance compared to a single particle size. In this study, we assess this finding by …

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

D Carne, J Peoples, Z Guo, D Feng, Z Han, X Liu… - Computer Physics …, 2025 - Elsevier
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 …