| Machine learning for materials scientists: an introductory guide toward best practices AYT Wang, RJ Murdock, SK Kauwe, AO Oliynyk, A Gurlo, J Brgoch, ... Chemistry of Materials 32 (12), 4954-4965, 2020 | 164 | 2020 |
| Can machine learning find extraordinary materials? SK Kauwe, J Graser, R Murdock, TD Sparks Computational Materials Science 174, 109498, 2020 | 59 | 2020 |
| Compositionally restricted attention-based network for materials property predictions AYT Wang, SK Kauwe, RJ Murdock, TD Sparks Npj Computational Materials 7 (1), 77, 2021 | 58 | 2021 |
| Is domain knowledge necessary for machine learning materials properties? RJ Murdock, SK Kauwe, AYT Wang, TD Sparks Integrating Materials and Manufacturing Innovation 9, 221-227, 2020 | 28 | 2020 |
| Big Sleep R Murdock, P Wang | 8 | 2021 |
| Generative search engines: Initial experiments S Colton, A Smith, S Berns, R Murdock, M Cook Proceedings of the International Conference on Computational Creativity, 2021 | 7 | 2021 |
| Aleph2Image R Murdock | 2 | 2021 |
| The Big Sleep, 2021 R Murdock URL❤ tt♣ s✿✴✴ t✇✐ tt❡ r✳❝♦♠✴❛❞✈❛❞♥♦✉♥✴ st❛ t✉ s, 0 | 2 | |
| Unintended Consequences of Trying to Help: Augmented Target Recognition Cues Bias Perception C Konold, M Geuss, J Butner, M Whitaker, R Murdock, J Stefanucci, ... Journal of Vision 22 (14), 3362-3362, 2022 | | 2022 |
| Generative adversarial networks and diffusion models in material discovery M Alverson, S Baird, R Murdock, T Sparks | | 2022 |
| EFFECTS OF STATE WORRY AND WORKING MEMORY LOAD MANIPULATIONS ON PSYCHOPHYSIOLOGICAL INDICES OF ERROR-PROCESSING S LoTemplio, J Silcox, R Murdock, D Strayer, B Payne PSYCHOPHYSIOLOGY 59, S39-S40, 2022 | | 2022 |
| Increasing target template precision decreases distractor recognition in hybrid search RJ Murdock, M Lavelle, R Luria, T Drew Journal of Vision 21 (9), 2649-2649, 2021 | | 2021 |
