2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Jialu Wang Citation name Wang, J. State IN Country USA Authored(341b) Design of Experiments and Uncertainty Quantification for Adsorptive CO2 Capture SystemsJialu WangRyan HughesDebangsu BhattacharyyaAlexander Dowling2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(635d) Model-Based Design of Experiments in Pyomo and Its Application to Adsorptive CO2 Capture SystemsJialu WangAlexander Dowling2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(236f) Pyomo.Doe: An Open-Source Package for Model-Based Design of Experiments in PythonAlexander DowlingJialu Wang2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(624h) Optimization Under Uncertainty with Bayesian Hybrid ModelsAlexander DowlingKyla JonesElvis EugeneJialu Wang2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(398f) Science-Based Design of Experiments and Data Analytics for Molecular-to-Systems EngineeringAlexander DowlingJialu WangXinhong LiuWilliam PhillipJonathan OuimetLaurianne Lair2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(99g) Measure This, Not That: Pareto Optimal Trade-Offs between Model-Based Information Content and Measurements CostJialu WangAlexander Dowling2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(147ai) Measure This, Not That: Pareto Optimal Trade-Offs between Model-Based Information Content and Measurements BudgetAlexander DowlingJialu Wang2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(59a) Measure This, Not That: Pareto Optimal Trade-Offs between Model-Based Information Content and Measurements Cost (Poster corresponding to plenary presentation)Jialu WangAlexander Dowling2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting
