MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art. - Jianjun Hu; Stanislav Stefanov; Yuqi Song; Sadman Sadeed Omee; Steph-Yves M. Louis; Edirisuriya M. Dilanga Siriwardane; Yong Zhao 014 (CoRR, 2021)

Materials Transformers Language Models for Generative Materials Design: a benchmark study. - Nihang Fu; Lai Wei 008; Yuqi Song; Qinyang Li; Rui Xin; Sadman Sadeed Omee; Rongzhi Dong; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (CoRR, 2022)

Materials Property Prediction with Uncertainty Quantification: A Benchmark Study. - Daniel Varivoda; Rongzhi Dong; Sadman Sadeed Omee; Jianjun Hu (CoRR, 2022)

Scalable deeper graph neural networks for high-performance materials property prediction. - Sadman Sadeed Omee; Steph-Yves M. Louis; Nihang Fu; Lai Wei 008; Sourin Dey; Rongzhi Dong; Qinyang Li; Jianjun Hu (Patterns, 2022)

MD-HIT: Machine learning for materials property prediction with dataset redundancy control. - Qin Li; Nihang Fu; Sadman Sadeed Omee; Jianjun Hu (CoRR, 2023)

Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm. - Sadman Sadeed Omee; Lai Wei 008; Jianjun Hu (CoRR, 2023)

Material transformers: deep learning language models for generative materials design. - Nihang Fu; Lai Wei 008; Yuqi Song; Qinyang Li; Rui Xin; Sadman Sadeed Omee; Rongzhi Dong; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (Mach. Learn. Sci. Technol., 2023)

Global Mapping of Structures and Properties of Crystal Materials. - Qinyang Li; Rongzhi Dong; Nihang Fu; Sadman Sadeed Omee; Lai Wei 008; Jianjun Hu (J. Chem. Inf. Model., 2023)

Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study. - Sadman Sadeed Omee; Nihang Fu; Rongzhi Dong; Ming Hu; Jianjun Hu (CoRR, 2024)

Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control. - Sadman Sadeed Omee; Lai Wei 008; Sourin Dey; Jianjun Hu (CoRR, 2025)