Monte Carlo Raman Spectroscopy Simulation: Unlocking Computational Speed with GPU Acceleration Skip to main content
Utah's Foremost Platform for Undergraduate Research Presentation
2024 Abstracts

Monte Carlo Raman Spectroscopy Simulation: Unlocking Computational Speed with GPU Acceleration

Authors: Thomas Caldwell
Mentors: Dustin Shipp
Insitution: Utah Valley University

In this research project, we have transformed an existing Raman spectroscopy simulation, enhancing its performance and capabilities through the integration of parallel computing with GPU acceleration. This significant improvement in computational time allows us to break through previous computational limitations, enabling more sophisticated and complex applications of the simulation. We are currently focused on two main objectives: assessing the viability and potential of spatially offset Raman spectroscopy (SORS) for deeper tissue analysis, and exploring the possibilities of topographical imaging using Raman techniques.