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Found 3 papers, 1 papers with code
Large Language Model Agent as a Mechanical Designer
This creates a trade-off between the efficiency of automation and the demand for resources.
GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction
A text based description of 326000 molecules were collected using ChatGPT and used to train LLM to learn the representation of molecules.
Dominant motion identification of multi-particle system using deep learning from video
In this work, we provide a deep-learning framework that extracts relevant information from real-world videos of highly stochastic systems, with no prior knowledge and distills the underlying governing equation representing the system.
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