5 citations · 9 across the 4 of their papers we have counts for
4 papers
Probing Materials Knowledge in LLMs: From Latent Embeddings to Reliable Predictions
Vineeth Venugopal, Soroush Mahjoubi, Elsa Olivetti
Large language models are increasingly applied to materials science, yet fundamental questions remain about their reliability and knowledge encoding. Evaluating 25 LLMs across four…
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
Yoel Zimmermann, Adib Bazgir, Alexander Al-Feghali +32
Large Language Models (LLMs) are reshaping many aspects of materials science and chemistry research, enabling advances in molecular property prediction, materials design, scientifi…
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141
Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…
Identification and classification of exfoliated graphene flakes from microscopy images using a hierarchical deep convolutional neural network
Soroush Mahjoubi, Fan Ye, Yi Bao +2
Identification of the mechanically exfoliated graphene flakes and classification of the thickness is important in the nanomanufacturing of next-generation materials and devices tha…