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2020 – today
- 2024
[i7]Sadman Sadeed Omee, Nihang Fu, Rongzhi Dong, Ming Hu, Jianjun Hu:
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study. CoRR abs/2401.08032 (2024)- 2023
- [j3]Qinyang Li, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee
, Lai Wei, Jianjun Hu:
Global Mapping of Structures and Properties of Crystal Materials. J. Chem. Inf. Model. 63(12): 3814-3826 (2023) - [j2]Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Material transformers: deep learning language models for generative materials design. Mach. Learn. Sci. Technol. 4(1): 15001 (2023) - [i6]Qin Li, Nihang Fu, Sadman Sadeed Omee, Jianjun Hu:
MD-HIT: Machine learning for materials property prediction with dataset redundancy control. CoRR abs/2307.04351 (2023) - [i5]Sadman Sadeed Omee, Lai Wei, Jianjun Hu:
Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm. CoRR abs/2309.06710 (2023) - 2022
- [j1]Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu:
Scalable deeper graph neural networks for high-performance materials property prediction. Patterns 3(5): 100491 (2022) - [i4]Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Materials Transformers Language Models for Generative Materials Design: a benchmark study. CoRR abs/2206.13578 (2022) - [i3]Daniel Varivoda, Rongzhi Dong, Sadman Sadeed Omee, Jianjun Hu:
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study. CoRR abs/2211.02235 (2022) - 2021
- [i2]Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves M. Louis, Edirisuriya M. Dilanga Siriwardane, Yong Zhao:
MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art. CoRR abs/2109.04007 (2021) - [i1]Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu:
Scalable deeper graph neural networks for high-performance materials property prediction. CoRR abs/2109.12283 (2021)
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