Predictive Modeling

Utilizing AI to enhance predictive modeling in materials science research.

A person sits on the floor surrounded by floating papers, appearing deep in concentration as they look at documents in their hands. The setting is dimly lit, conveying a focused and studious atmosphere. A laptop is visible in the foreground, and the curtains in the background add to the moody setting.
A person sits on the floor surrounded by floating papers, appearing deep in concentration as they look at documents in their hands. The setting is dimly lit, conveying a focused and studious atmosphere. A laptop is visible in the foreground, and the curtains in the background add to the moody setting.
Research Insights

In-depth analysis of AI methodologies in lattice dynamics and computational physics applications, contributing to innovative solutions and advancements in scientific discovery and material performance assessment.

A person leaning over a table, focused on drawing or writing on a large sheet of paper while looking at the screen of an open laptop. Their attire is casual, and they hold a pencil in their right hand. A notebook is placed on the table beside them.
A person leaning over a table, focused on drawing or writing on a large sheet of paper while looking at the screen of an open laptop. Their attire is casual, and they hold a pencil in their right hand. A notebook is placed on the table beside them.
Computational Tools

Exploration of Python, Pygad, and Phonopy for simulation and predictive analysis, showcasing their roles in enhancing research accuracy and efficiency in complex material systems.

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