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2020 – today
- 2023
[i7]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)- 2022
- [i6]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
- [i5]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
- [i4]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) - 2018
- [i3]Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari, Jeffrey C. Grossman, Venkatasubramanian Viswanathan:
Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode. CoRR abs/1804.04651 (2018) - [i2]Tian Xie, Jeffrey C. Grossman:
Hierarchical Visualization of Materials Space with Graph Convolutional Neural Networks. CoRR abs/1807.03404 (2018) - 2013
- [i1]Sophia Sklan, Jeffrey C. Grossman:
Beyond electronics, beyond optics: single circuit parallel computing with phonons. CoRR abs/1301.2807 (2013) - 2010
- [j1]Yosuke Kanai
, Jeffrey B. Neaton, Jeffrey C. Grossman:
Theory and Simulation of Nanostructured Materials for Photovoltaic Applications. Comput. Sci. Eng. 12(2): 18-27 (2010)
Coauthor Index
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