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ICAMS-IFM

Data driven simulation and analysis in material science

Roland Aydin, Universität des Saarlandes, Saarbrücken, Germany

Time & Place
  • Date: 23.07.2026
  • Time: 12:00
  • Place: ZG seminar room 03/121

Abstract

LLMs are rapidly expanding the scope of AI in materials science. This talk discusses special considerations when using LLMs for scientific research, including cognitive biases that can influence model behavior, and highlights two emerging opportunities: using LLMs to generate specialized scientific models on demand and using LLMs themselves as surrogate models for materials modeling.

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