Scholar
Muhammed Shuaibi
Google Scholar ID: lphfYeIAAAAJ
Research Engineer, FAIR, Meta
Citations & Impact
Citations
2,388
H-index
20
i10-index
24
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- The Open Catalyst 2025 (OC25) Dataset and Models for Solid-Liquid Interfaces, Preprint 2025
- UMA: A Family of Universal Models for Atoms, Preprint 2025
- The Open Molecules 2025 (OMol25) Dataset, Evaluations, and Models, Preprint 2025
- CatTSunami: Accelerating Transition State Energy Calculations with Pretrained Graph Neural Networks, ACS Catalysis 2025
- Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields, TMLR 2024
- Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models, Preprint 2024
- Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models, Preprint 2024
- AdsorbML: A Leap in Efficiency for Adsorption Energy Calculations using Generalizable Machine Learning Potentials, npj Comput. Mater. 2023
- The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts, ACS Catalysis 2023
- The Open Catalyst 2020 (OC20) Dataset and Community Challenges, ACS Catalysis 2021
Research Experience
- Research Engineer at FAIR, Meta, focusing on deep learning applications in molecules and materials discovery.
Education
- PhD in Chemical Engineering, Advisor: Zachary W. Ulissi
Background
- A Research Engineer on the FAIR Chemistry team. His current research focuses on deep learning applications to addressing broad challenges in molecules and materials discovery. He is particularly fond of building open datasets, frameworks, and tools to accelerate community research. Before that, he completed his PhD in Chemical Engineering with Zachary W. Ulissi.
Miscellany
- Contact: mushuaibi@gmail.com
Co-authors