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.
Shyam Deo Citation name Deo, S. Authored(477f) Integrating Experimental and Theoretical Data for High Quality Predictions of Electrocatalytic PerformanceShyam DeoMelissa KreiderMichaela Burke StevensKirsten WintherJohannes VossFrank Abild-PedersenThomas Jaramillo2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(684d) Towards Swift Predictions of Metal Ad-Atom Diffusion Barriers and Surface Energies for Enhanced Understanding of Sintering and Catalysts DurabilityShyam DeoJoakim Halldin StenlidFrank Abild-Pedersen2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(191h) Bridging Thermal and Electrochemical Catalysis: Rational Catalyst Design at Atomic ScalesShyam Deo2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(2bf) Bridging Thermal and Electrochemical Catalysis: Rational Catalyst Design at Atomic Scales through Physical and Machine Learning Based InsightsShyam Deo2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(662c) Integrating Experimental and Theoretical Data for High Quality Predictions of Material Performance Towards Electrochemical ReactionsShyam DeoKirsten WintherJohannes VossDr. Michaela Burke StevensGaurav A. KamatDr. Melissa E. Kreider2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(696a) Predicting Metal Dynamics, Surface, and Segregation Energies in High Entropy Alloys for Sintering and Catalyst DurabilityFrank Abild-PedersenShyam Deo2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(326g) Accelerating Materials Discovery for Electrochemical Reactions Using Iterative Machine Learning Strategies with Theoretical and Experimental DataShyam Deo2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(362o) Rational Catalyst Design at Atomic Scales through Physics and Machine Learning-Based Insights Towards Energy and Sustainable ApplicationsShyam Deo2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(521ed) Towards Predicting Metal Dynamics, Surface, and Segregation Energies in High Entropy Alloys for Sintering and Catalyst DurabilityShyam DeoFrank Abild-Pedersen2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(147j) Bridging Thermal and Electrochemical Catalysis: Rational Catalyst Design at Atomic Scales through Physical and Machine-Learning Based InsightsShyam Deo2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(2fu) Bridging Thermal and Electrochemical Catalysis: Rational Catalyst Design at Atomic Scales through Physical and Machine Learning Based InsightsShyam Deo2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(4eo) Bridging Thermal and Electrochemical Catalysis: Rational Catalyst Design at Atomic Scales through Physical and Machine Learning Based InsightsShyam Deo2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6) Associated proceedings 2022 Annual Meeting 2023 AIChE Annual Meeting 2024 AIChE Annual Meeting
