Comparative analysis of machine learning techniques for the prediction of logP. - Edward W. Lowe; Mariusz Butkiewicz; Matthew Spellings; Albert Omlor; Jens Meiler (CIBCB, 2011)

Agglomerative Attention. - Matthew Spellings (CoRR, 2019)

Geometric Algebra Attention Networks for Small Point Clouds. - Matthew Spellings (CoRR, 2021)

Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. - Kin Long Kelvin Lee; Carmelo Gonzales; Matthew Spellings; Mikhail Galkin 001; Santiago Miret; Nalini Kumar (SC Workshops, 2023)

MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling. - Kin Long Kelvin Lee; Carmelo Gonzales; Marcel Nassar; Matthew Spellings; Mikhail Galkin 001; Santiago Miret (CoRR, 2023)

The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. - Santiago Miret; Kin Long Kelvin Lee; Carmelo Gonzales; Marcel Nassar; Matthew Spellings (Trans. Mach. Learn. Res., 2023)

Self-Supervised Learning for Ordered Three-Dimensional Structures. - Matthew Spellings; Maya M. Martirossyan; Julia Dshemuchadse (CoRR, 2024)