Shuaibi, M.

Authored

(662d) Machine Learning Electron Density for Chemical Property Predictions in Catalysis
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(684g) Open Challenges in Developing Generalizable Large Scale Machine Learning Models for Catalyst Discovery
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(360o) Electron Density Prediction with Graph Neural Networks on Large Catalyst Datasets
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(8f) Open Catalyst Project: Advancements and Challenges in Building a Flexible Machine Learning Potential
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(118c) Transfer Learning Using Large-Scale ML Models for Catalyst/Molecular Datasets
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(342ae) Accelerating on-the-Fly Active Learning of Catalyst Simulations Using Large Scale Pretrained Models
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(513ef) An Active Learning Framework for Accelerating Saddle Point Searches Applied to Propylene Epoxidation
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
(106e) The Open Catalyst Project Dataset
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

Related Proceedings

2020 Virtual AIChE Annual Meeting2021 Annual Meeting2022 Annual Meeting2023 AIChE Annual Meeting