Bryce Meredig

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 6

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Eric S. Muckley, James E. Saal, Bryce Meredig, Christopher S. Roper, John H. Martin
Interpretable models for extrapolation in scientific machine learning. CoRR (2022)
Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan
ACED: Accelerated Computational Electrochemical systems Discovery. CoRR (2020)
Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling
Machine-learned metrics for predicting the likelihood of success in materials discovery. CoRR (2019)
Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons, Sean Paradiso, Julia Ling, Bryce Meredig
Overcoming data scarcity with transfer learning. CoRR (2017)
Julia Ling, Maxwell Hutchinson, Erin Antono, Brian DeCost, Elizabeth A. Holm, Bryce Meredig
Building Data-driven Models with Microstructural Images: Generalization and Interpretability. CoRR (2017)
Ankit Agrawal, Bryce Meredig, Chris Wolverton, Alok N. Choudhary
A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining. ICDM Workshops (2016)