Foundations of Molecular Modeling and Simulation (FOMMS 2024) July 28 - August 1, 2024 Snowbird, Utah
2024 International Mammalian Synthetic Biology Workshop (mSBW) August 6-7, 2024 George Sherman Union at Boston University, Boston, MA, USA
The Foundations of Computer Aided Process Design (FOCAPD) Conference July 14-18, 2024 Beaver Run, Breckenridge, CO, USA
Foundations of Molecular Modeling and Simulation (FOMMS 2024) July 28 - August 1, 2024 Snowbird, Utah
2024 Brazil Student Regional Conference July 29 - August 2, 2024 Universidade Federal do Paraná, Curitiba, Paraná, Brazil
2024 International Mammalian Synthetic Biology Workshop (mSBW) August 6-7, 2024 George Sherman Union at Boston University, Boston, MA, USA
2024 China Chem-E-Car Competition August 6-7, 2024 Central South University, Changsha, Hunan Province, China
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Meng Li Citation name Li, M. Affiliation Rice University State TX Country USA Authored(538h) Investigation of Metal Adsorption Trends on Modified MgO Supports Using Density Functional Theory and Statistical LearningThomas SenftleMeng LiChun-Yen LiuShijia Zhang2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(376i) Statistical Learning Approaches for Identifying Descriptors of Metal/Support Interactions in CatalysisChun-Yen LiuShijia ZhangMeng LiThomas Senftle2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(106g) Identifying Interaction Trends between Single Metal Atoms and Modified MgO(100) Supports with Statistical LearningChun-Yen LiuShijia ZhangDaniel MartinezMeng LiThomas Senftle2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(346c) Exploring Metal-Support Interactions in Catalysis with Statistical LearningChun-Yen LiuShijia ZhangDaniel MartinezMeng LiThomas Senftle2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(290a) Building Catalytic Descriptors with Iterative Bayesian Additive Regression Trees (iBART)Chun-Yen LiuShengbin YeMeng LiThomas Senftle2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(342am) Improving Feature Selection Methods for Heterogeneous CatalysisChun-Yen LiuShengbin YeMeng LiThomas Senftle2021 Annual Meeting (ISBN: 978-0-8169-1116-5) Associated proceedings 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting