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ACED: Accelerated Computational Electrochemical systems Discovery


Nov 10, 2020
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 Shah, Venkatasubramanian Viswanathan

* 4 pages, 1 figure, accepted to NeurIPS Climate Change and AI Workshop 2020 updating because one author's email was missing 

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


Nov 27, 2019
Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling

* 13 pages, 10 figures, 2 tables 

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Machine-learned metrics for predicting thelikelihood of success in materials discovery


Nov 25, 2019
Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling

* 13 pages, 10 figures, 2 tables 

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Overcoming data scarcity with transfer learning


Nov 02, 2017
Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons, Sean Paradiso, Julia Ling, Bryce Meredig


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


Nov 01, 2017
Julia Ling, Maxwell Hutchinson, Erin Antono, Brian DeCost, Elizabeth A. Holm, Bryce Meredig


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High-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates


Jul 04, 2017
Julia Ling, Max Hutchinson, Erin Antono, Sean Paradiso, Bryce Meredig

* Integrating Materials and Manufacturing Innovation, (2017) 

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