Advanced Technology in Photochemistry: Utilizing GPU Acceleration for Real-Time Simulation of Nanoparticle Behavior

EasyChair Preprint 14977

Abstract

This study explores the integration of GPU acceleration in photochemical simulations to achieve real-time modeling of nanoparticle behavior. By leveraging the parallel processing capabilities of graphics processing units (GPUs), we developed a novel computational framework that significantly enhances the efficiency and accuracy of nanoparticle simulations. Our approach enables the real-time investigation of photochemical reactions at the nanoscale, allowing for unprecedented insights into the dynamics of nanoparticle interactions.

The GPU-accelerated simulations demonstrated a substantial reduction in computational time (up to 50x) compared to traditional CPU-based methods, facilitating the exploration of complex photochemical processes. The framework's validity was verified through experimental comparisons, showcasing excellent agreement between simulated and empirical results.

This breakthrough has profound implications for the design and optimization of nanoparticle-based applications in fields such as photocatalysis, optoelectronics, and biomedical research. The ability to simulate nanoparticle behavior in real-time enables rapid prototyping, improved material properties, and enhanced performance. This work paves the way for the widespread adoption of GPU-accelerated photochemical simulations, transforming the landscape of nanoscale research and development.

Keyphrases: GPU acceleration, Photochemistry, computational chemistry, nanoparticle simulation, real-time modeling

@booklet{EasyChair:14977,
  author    = {Abill Robert},
  title     = {Advanced Technology in Photochemistry: Utilizing GPU Acceleration for Real-Time Simulation of Nanoparticle Behavior},
  howpublished = {EasyChair Preprint 14977},
  year      = {EasyChair, 2024}}