Programme

P.56 -- Poster, VCTP-49

Date: Friday, 2 August 2024

Time: 08:30 - 10:00

AI-Powered Mie Theory for Predicting Optical and Photothermal Heating of Nanoparticles

Ngo Thi Que1, Dang Bui Nhat Le2, Anh D. Phan1,2, and Do T. Nga3

1 Phenikaa Institute for Advanced Study, Phenikaa University, Hanoi 12116, Vietnam 2 Faculty of Materials Science and Engineering, Phenikaa University, Hanoi 12116, Vietnam 3 Institute of Physics, Vietnam Academy of Science and Technology, 10 Dao Tan, Ba Dinh, Hanoi 12116, Vietnam

We introduce a novel approach combining artificial intelligence (AI) and Mie theory to investigate the optical and photothermal properties of nanoparticles. Utilizing computer vision algorithms, we analyze transmission electron microscopy (TEM) images to extract nanoparticle size, shape, and distribution data. This structural information is then integrated into Mie theory calculations to predict absorption, scattering, and extinction spectra. Furthermore, we model the photothermal heating of nanoparticles dispersed in water or polymer matrices under laser irradiation, predicting the time-dependent temperature rise based on nanoparticle concentration and illumination duration. A user-friendly web application built on Streamlit enables researchers to easily utilize our approach for custom calculations.

Presenter: Ngô Thị Quế