Qianqian Fang

Using large language models for enhancing accessibility for Monte Carlo photon transport simulations and beyond

This work investigates the use of LLMs in quantitative biophotonics simulation tools, with a goal of enabling novice users to build complex photon simulations using intuitive natural-language-based problem descriptions and provides a pathway to making complex scientific tools accessible while ensuring the reliability and technical correctness required for rigorous scientific research.