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Brenden Pelkie
Brenden Pelkie
PhD Student, Chemical Engineering, University of Washington
Verified email at uw.edu
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Cited by
Year
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, 2023
362023
The laboratory of Babel: highlighting community needs for integrated materials data management
BG Pelkie, LD Pozzo
Digital Discovery, 2023
82023
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
52020
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
2022
Machine learning the quantum flux–flux correlation function for catalytic surface reactions
BG Pelkie, S Valleau
Digital Discovery 2022 (6), 2022
2022
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Articles 1–5