| The open MatSci ML toolkit: A flexible framework for machine learning in materials science S Miret, KLK Lee, C Gonzales, M Nassar, M Spellings arXiv preprint arXiv:2210.17484, 2022 | 6 | 2022 |
| Matsciml: A broad, multi-task benchmark for solid-state materials modeling KLK Lee, C Gonzales, M Nassar, M Spellings, M Galkin, S Miret arXiv preprint arXiv:2309.05934, 2023 | 4 | 2023 |
| Towards foundation models for materials science: The open matsci ml toolkit KLK Lee, C Gonzales, M Spellings, M Galkin, S Miret, N Kumar Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 2 | 2023 |
| Using Multiple Vector Channels Improves E (n)-Equivariant Graph Neural Networks D Levy, SO Kaba, C Gonzales, S Miret, S Ravanbakhsh arXiv preprint arXiv:2309.03139, 2023 | 1 | 2023 |
| Hyperparameter optimization of graph neural networks for the opencatalyst dataset: A case study C Gonzales, EH Lee, KLK Lee, J Tang, S Miret AI for Accelerated Materials Design NeurIPS 2022 Workshop, 2022 | 1 | 2022 |
| Analyzing the Sensitivity of Nonlinear Oscillators to Parametric Perturbations using Isostable and Isochron Coordinates CJS Gonzales University of California, Santa Barbara, 2019 | 1 | 2019 |
| Data Efficient Training for Materials Property Prediction Using Active Learning Querying C Gonzales, KLK Lee, B Mu, M Galkin, S Miret AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023 | | 2023 |
| A Spectral Evaluation of the Application of Super-Resolution to Commercial Satellite Imagery, STL-010-18, Year 3 JL Turk, CJS Gonzales, ET Moore Nevada National Security Site/Mission Support and Test Services LLC (NNSS …, 2020 | | 2020 |
| Analyzing the Sensitivity of Nonlinear Oscillators to Parametric Perturbations using Isostable C Gonzales | | 2019 |
| TinyG CNC Machining Methods C Gonzales | | |
