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2020 – today
- 2023
[j2]Muhammed Shuaibi, Yuge Hu
, Xiangyun Lei, Benjamin M. Comer, Matt Adams, Jacob Paras, Rui Qi Chen, Eric Musa, Joseph Musielewicz, Andrew A. Peterson, Andrew J. Medford, Zachary W. Ulissi:
AmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantification. J. Open Source Softw. 8(87): 5035 (2023)- [j1]Xiangyun Lei, Joseph Montoya:
GMP-Featurizer: A parallelized Python package for efficiently computing the Gaussian Multipole features of atomic systems. J. Open Source Softw. 8(89): 5476 (2023) - [i5]Xiangyun Lei, Joseph Montoya:
GMP-Featurizer: A parallelized Python package for efficiently computing the Gaussian Multipole features of atomic systems. CoRR abs/2303.12980 (2023) - [i4]Xiangyun Lei, Edward Kim, Viktoriia Baibakova, Shijing Sun:
Lessons in Reproducibility: Insights from NLP Studies in Materials Science. CoRR abs/2307.15759 (2023) - [i3]Xiangyun Lei, Weike Ye, Joseph Montoya, Timothy Mueller, Linda Hung, Jens S. Hummelshoej:
The Role of Reference Points in Machine-Learned Atomistic Simulation Models. CoRR abs/2310.18552 (2023) - 2022
- [b1]Xiangyun Lei:
A Unified Framework for Data-Driven Atomistic Modeling. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - 2021
- [i2]Xiangyun Lei, Andrew J. Medford:
A Universal Framework for Featurization of Atomistic Systems. CoRR abs/2102.02390 (2021)
2010 – 2019
- 2019
- [c2]Xiangyun Lei, Fred Hohman, Duen Horng (Polo) Chau, Andrew J. Medford:
ElectroLens: Understanding Atomistic Simulations through Spatially-Resolved Visualization of High-Dimensional Features. IEEE VIS (Short Papers) 2019: 196-200 - [i1]Xiangyun Lei, Fred Hohman, Duen Horng Chau, Andrew J. Medford:
ElectroLens: Understanding Atomistic Simulations Through Spatially-resolved Visualization of High-dimensional Features. CoRR abs/1908.08381 (2019) - 2016
- [c1]Tiannan Chen, Xiangyun Lei, Hakan Demir, Christopher J. Cramer, Laura Gagliardi, Stephen J. Guy:
MOF: creating an educational game on nanotechnology through simulation-driven optimization. MIG 2016: 39-48
Coauthor Index
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