| 14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon KM Jablonka, Q Ai, A Al-Feghali, S Badhwar, JD Bocarsly, AM Bran, ... Digital Discovery 2 (5), 1233-1250, 2023 | 79 | 2023 |
| The laboratory of Babel: highlighting community needs for integrated materials data management BG Pelkie, LD Pozzo Digital Discovery 2 (3), 544-556, 2023 | 12 | 2023 |
| Axial variability of pattern formation in Rayleigh-Bénard convection: MRI velocimetry in a low aspect ratio cylinder ME Skuntz, BG Pelkie, SL Codd, R Anderson, JD Seymour International Communications in Heat and Mass Transfer 118, 104869, 2020 | 4 | 2020 |
| Extracting Structured Data from Organic Synthesis Procedures Using a Fine-Tuned Large Language Model Q Ai, F Meng, J Shi, B Pelkie, CW Coley | 2 | 2024 |
| C-HACK: A Data Science Tutorial and Hackathon for Undergraduate Students in Chemical Engineering E Komp, B Pelkie, N Janulaitis, M Abel, I Castillo, L Chiang, Y Peng, ... Chemical Engineering Education, 17-26, 2022 | 1 | 2022 |
| Machine learning the quantum flux–flux correlation function for catalytic surface reactions BG Pelkie, S Valleau Digital Discovery 2022 (6), 2022 | | 2022 |
