Speaker
Description
High purity germanium (HPGe) crystals play a critical role in the production of radiation detectors used in searches for rare events, where impurity concentrations need to be minimized to as low as 10¹⁰ atoms/cm³. In this presentation, I will discuss our latest research on HPGe crystal development, specifically designed for these highly sensitive applications, and investigate how AI tools such as ChatGPT and Grok can support this field.
Using these models, we conducted preliminary simulations of thermal profiles and dislocation densities that, although approximate, indicate a favorable correlation with experimental findings. I will address both the advantages and present constraints of chatbot-assisted modeling and illustrate how they can expedite initial design and hypothesis testing. Lastly, I will propose potential methods for incorporating more precise AI-driven simulations into material science processes.
