Bryce Meredig

According to our database, Bryce Meredig authored at least 6 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Interpretable models for extrapolation in scientific machine learning.

Eric S. Muckley, James E. Saal, Bryce Meredig, Christopher S. Roper, John H. Martin

CoRR, 2022

2020

ACED: Accelerated Computational Electrochemical systems Discovery.

Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James E. Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan

CoRR, 2020

2019

Machine-learned metrics for predicting the likelihood of success in materials discovery.

Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling

CoRR, 2019

2017

Overcoming data scarcity with transfer learning.

Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons, Sean Paradiso, Julia Ling, Bryce Meredig

CoRR, 2017

Building Data-driven Models with Microstructural Images: Generalization and Interpretability.

Julia Ling, Maxwell Hutchinson, Erin Antono, Brian DeCost, Elizabeth A. Holm, Bryce Meredig

CoRR, 2017

2016

A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining.

Ankit Agrawal, Bryce Meredig, Chris Wolverton, Alok N. Choudhary

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016