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Omar Allam

As seen in: Nature, MDPI, The Globe and Mail, ACS Publications, Gulf News, Royal Society of Chemistry, Financial Post, Calgary Herald, Maclean's, Regina Leader-Post and
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Articles

AQCat25: unlocking spin-aware, high-fidelity machine learning potentials for heterogeneous catalysis

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By Omar Allam, Brook Wander, SungYeon Kim, Tyler Sours, Jia-Min Chu, Thomas Ludwig, Jiyoon Kim, Shivang Agarwal, Alan E. Rask, Alexandre Fleury Verified, Chuhong Wang, Andrew Reid Wildman, Thomas James Mustard, Kevin Ryczko, Paul Abruzzo, Aayush R. Singh, Rudi Plesch, Rodrigo Wang, AJ Nish
| Nature Verified
Abstract Large-scale datasets have enabled highly accurate machine learning interatomic potentials (MLIPs) for general-purpose heterogeneous catalysis modeling. There are, however, some limitations in what can be treated with these potentials because of gaps in the underlying training data.
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Molecular Insights into Lithium-Ion Coordination and Morphology in Carbonate Polymer Electrolytes

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By Omar Allam, Seung Soon Jang
| ACS Publications
1. Introduction Click to copy section linkSection link copied! The transition to sustainable energy storage systems necessitates developing electrochemical energy storage technologies that are both efficient and safe. Lithium-ion batteries (LIBs) have been central to this transformation and have proven critical to applications from portable electronics to electric vehicles.
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Sobering Overview of Traumatic Craniofacial Injuries Involving Drugs and Alcohol: A Comprehensive Analysis of the NEISS Database

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By Omar Allam, Sam Boroumand, Ismail Ajjawi, Tara Boroumand
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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