GPU-Accelerated Simulations of Photochemical Reactions in Nanoparticles

EasyChair Preprint 14811

Abstract

This study explores the application of GPU-accelerated simulations to model photochemical reactions in nanoparticles. By leveraging the parallel processing capabilities of Graphics Processing Units (GPUs), we significantly enhance the computational efficiency and accuracy of simulating complex photochemical processes at the nanoscale. Our approach integrates molecular dynamics and quantum mechanics to investigate the dynamics of photochemical reactions in nanoparticle systems. The results demonstrate substantial speedup and improved precision compared to traditional CPU-based simulations, enabling the exploration of larger systems and longer timescales. This research has implications for the design and optimization of nanoparticle-based applications in fields like photovoltaics, catalysis, and biomedicine.

Keyphrases: GPU acceleration, Nanoparticles, Photochemical reaction

@booklet{EasyChair:14811,
  author    = {Abilly Elly},
  title     = {GPU-Accelerated Simulations of Photochemical Reactions in Nanoparticles},
  howpublished = {EasyChair Preprint 14811},
  year      = {EasyChair, 2024}}