技術論文とプレゼンテーション

The Hall effect is a physics phenomenon in which a voltage is created across a material via carriers. By applying a magnetic field B and a current ? through the material perpendicularly, we generate what is known as Hall voltage ??. Hall voltage is measured by the difference in the electric potential across the material. Hall voltage is a problematic variable to measure, as the voltage created using my resources is diminutive. This challenge is the basis of my solution in which COMSOL Multiphysics is the ideal process to permit me insight on this phenomenon. Using the aid of agentic AI, I was able to derive a functioning, comprehensive model that allows me to study the conditions of this phenomenon. This is the purpose of my studies, to develop a deeper understanding of the software and interfacing it with agentic AI for real-world applications. First, I created a model and applied physics with no external aid attempting to troubleshoot until completion. This model was ultimately not satisfactory and was missing variables that could not be measured in my lab. Using Cosmon Nexus, I prompted the software to create a model that would allow me to measure the Hall voltage, visualize the magnetic field and electric potential, and allow me to alter the material. As a result, Nexus generated a model that I was able to alter and study the phenomenon. This also allowed me to study the path that the AI chose, and additionally, view my processes and the software's comparatively. The model that was generated allows me to: manipulate different physical properties, alter material properties, visualize the Hall effect, and generate data that could not be measured in the lab. In Summation, I conclude that Agentic AI is a powerful tool that can be interfaced with COMSOL Multiphysics to negate and navigate bottlenecks for researchers, scientists, and engineers. Displaying COMSOL’s ability to simulate and measure data that may not be recordable using the standard equipment available.