Sadman Sadeed Omee

According to our database, Sadman Sadeed Omee authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

2023

Global Mapping of Structures and Properties of Crystal Materials.

Qinyang Li, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Lai Wei, Jianjun Hu

J. Chem. Inf. Model., June, 2023

Material transformers: deep learning language models for generative materials design.

Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu

Mach. Learn. Sci. Technol., March, 2023

Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm.

Sadman Sadeed Omee, Lai Wei, Jianjun Hu

CoRR, 2023

MD-HIT: Machine learning for materials property prediction with dataset redundancy control.

Qin Li, Nihang Fu, Sadman Sadeed Omee, Jianjun Hu

CoRR, 2023

2022

Scalable deeper graph neural networks for high-performance materials property prediction.

Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu

Patterns, 2022

Materials Property Prediction with Uncertainty Quantification: A Benchmark Study.

Daniel Varivoda, Rongzhi Dong, Sadman Sadeed Omee, Jianjun Hu

CoRR, 2022

Materials Transformers Language Models for Generative Materials Design: a benchmark study.

Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu

CoRR, 2022

2021

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

CoRR, 2021