2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
2025 AIChE Annual Meeting November 2-6, 2025 John B. Hynes Veterans Memorial Convention Center, Marriott Copley Place, Sheraton Back Bay | Boston, MA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Muhammed Shuaibi Citation name Shuaibi, M. State PA Country USA Authored(513ef) An Active Learning Framework for Accelerating Saddle Point Searches Applied to Propylene EpoxidationZachary UlissiSaurabh SivakumarMuhammed ShuaibiMatthew Adams2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(106e) The Open Catalyst Project DatasetZachary UlissiJunwoong YoonKevin TranMuhammed ShuaibiAini PalizhatiJavier Heras-DomingoAbhishek DasDevi ParikhLowik ChanussotSiddharth GoyalCaleb HoThibaut LavrilMorgane RiviereC. Lawrence Zitnick2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(342ae) Accelerating on-the-Fly Active Learning of Catalyst Simulations Using Large Scale Pretrained ModelsJoseph MusielewiczMuhammed ShuaibiZachary Ulissi2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(8f) Open Catalyst Project: Advancements and Challenges in Building a Flexible Machine Learning PotentialLowik ChanussotSiddharth GoyalMuhammed ShuaibiThibaut LavrilAbhishek DasMorgane RiviereKevin TranJavier Heras-DomingoCaleb HoWeihua HuAini PalizhatiAnuroop SriramBrandon WoodJunwoong YoonDevi ParikhC. Lawrence ZitnickZachary Ulissi2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(118c) Transfer Learning Using Large-Scale ML Models for Catalyst/Molecular DatasetsAdeesh KolluruMuhammed ShuaibiZachary Ulissi2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(684g) Open Challenges in Developing Generalizable Large Scale Machine Learning Models for Catalyst DiscoveryAdeesh KolluruMuhammed ShuaibiAini PalizhatiAbhishek DasBrandon WoodC. Lawrence ZitnickJohn KitchinZachary UlissiNima Shoghi2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(360o) Electron Density Prediction with Graph Neural Networks on Large Catalyst DatasetsEthan SunshineZachary UlissiMuhammed Shuaibi2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(662d) Machine Learning Electron Density for Chemical Property Predictions in CatalysisEthan SunshineMuhammed ShuaibiZachary UlissiJohn Kitchin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(244c) Cattsunami: Accelerating Transition State Energy Calculations with Pre-Trained Graph Neural NetworksBrook WanderJohn KitchinC. Lawrence ZitnickMuhammed ShuaibiZachary Ulissi2024 AIChE Annual Meeting (569ay) Investigating the Fitting Errors of Machine Learning Potentials on the Open Catalyst 2020 (OC20) DatasetKareem Ashraf Helmy AbdelmaqsoudMuhammed ShuaibiAdeesh KolluruRaffaele CheulaJohn Kitchin2024 AIChE Annual Meeting Associated proceedings 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting