Search Results for author: Steve Farrell

Found 4 papers, 1 papers with code

MatterChat: A Multi-Modal LLM for Material Science

no code implementations18 Feb 2025 Yingheng Tang, Wenbin Xu, Jie Cao, Jianzhu Ma, Weilu Gao, Steve Farrell, Benjamin Erichson, Michael W. Mahoney, Andy Nonaka, Zhi Yao

MatterChat employs a bridging module to effectively align a pretrained machine learning interatomic potential with a pretrained LLM, reducing training costs and enhancing flexibility.

Property Prediction

A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy

no code implementations15 Nov 2019 Yan Zhang, Steve Farrell, Michael Crowley, Lee Makowski, Jack Deslippe

An image dataset of 10 different size molecules, where each molecule has 2, 000 structural variants, is generated from the 2D cross-sectional projection of Molecular Dynamics trajectories.

BIG-bench Machine Learning

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