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2020 – today
- 2024
[i6]Landon Schofield, Benjamin Paren, Ruaridh Macdonald, Yang Shao-Horn, Dharik S. Mallapragada:
Dynamic Optimization of Proton Exchange Membrane Water Electrolyzers Considering Usage-Based Degradation. CoRR abs/2405.06766 (2024)- 2023
- [i5]Sheng Gong, Shuo Wang, Taishan Zhu, Yang Shao-Horn, Jeffrey C. Grossman:
Multimodal machine learning for materials science: composition-structure bimodal learning for experimentally measured properties. CoRR abs/2309.04478 (2023) - [i4]Anna Cybulsky, Florian Allroggen, Yang Shao-Horn, Dharik S. Mallapragada:
Decarbonization of aviation via hydrogen propulsion: technology performance targets and energy system impacts. CoRR abs/2309.14629 (2023) - 2022
- [i3]Tian Xie, Ha-Kyung Kwon, Daniel Schweigert, Sheng Gong, Arthur France-Lanord, Arash Khajeh, Emily Crabb, Michael Puzon, Chris Fajardo, Will Powelson, Yang Shao-Horn, Jeffrey C. Grossman:
A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations. CoRR abs/2208.01692 (2022) - 2021
- [i2]Tian Xie, Arthur France-Lanord, Yanming Wang, Jeffrey Lopez, Michael Austin Stolberg, Megan Hill, Graham Michael Leverick, Rafael Gómez-Bombarelli, Jeremiah A. Johnson, Yang Shao-Horn, Jeffrey C. Grossman:
Accelerating the screening of amorphous polymer electrolytes by learning to reduce random and systematic errors in molecular dynamics simulations. CoRR abs/2101.05339 (2021)
2010 – 2019
- 2019
- [i1]Tian Xie, Arthur France-Lanord, Yanming Wang, Yang Shao-Horn, Jeffrey C. Grossman:
Graph Dynamical Networks: Unsupervised Learning of Atomic Scale Dynamics in Materials. CoRR abs/1902.06836 (2019)
Coauthor Index
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