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physics.comp-ph2025
Exploring the Expertise of Large Language Models in Materials Science and Metallurgical Engineering
Christophe Bajan, Guillaume Lambard
The integration of artificial intelligence into various domains is rapidly increasing, with Large Language Models (LLMs) becoming more prevalent in numerous applications. This work…
physics.comp-ph2019★ 2 cited
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors
Guillaume Lambard, Ekaterina Gracheva
There is more and more evidence that machine learning can be successfully applied in materials science and related fields. However, datasets in these fields are often quite small (…