2023 Spring Meeting and 19th Global Congress on Process Safety March 12-16, 2023 Hilton of the Americas, George R. Brown Convention Center, Houston, TX
4th Engineering Cosmetics and Consumer Products Conference April 18-20, 2023 Crowne Plaza Princeton Conference Center, Plainsboro, NJ
Roadmapping Workshop #3: Prioritizing Virtual Training Development Needs January 31, 2023 San Jacinto College
2023 Spring Meeting and 19th Global Congress on Process Safety March 12-16, 2023 Hilton of the Americas, George R. Brown Convention Center, Houston, TX
AIChE/ACS Frontiers of Chemistry, Materials Science & Chemical Engineering for Circular Economy March 26-30, 2023 2023 ACS Spring Hybrid National Meeting, Indianapolis, IN, USA
2023 North Central Student Regional Conference March 31 - April 2, 2023 University of Illinois at Chicago, IL
2023 Southwest Student Regional Conference March 31 - April 1, 2023 Texas A&M University, College Station, TX
2023 Eckhardt Northeast Student Regional Conference March 31 - April 1, 2023 McGill University, Montreal, Quebec, Canada
Manuel Dahmen Citation name: Dahmen, M. Affiliation: FZ Jülich Country: Germany Authored:(459a) Simultaneous Product and Process Design for Tailor-Made BiofuelsAndrea KönigAlexander MitsosJörn ViellLisa NeidhardtManuel Dahmen2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(477i) Physical Graph Neural Networks for Prediction of Fuel Ignition QualityArtur SchweidtmannJan G. RittigAndrea KönigMartin GroheAlexander MitsosManuel Dahmen2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(203i) A Principal Component Normalizing Flow for Modeling Renewable Electricity GenerationEike CramerAlexander MitsosManuel Dahmen2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(417e) Assessing the Demand Response Potential of Power-Intensive Processes By Stochastic Scheduling OptimizationSonja GermscheidManuel DahmenAlexander Mitsos2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(227b) Guaranteed Accuracy of Machine Learning-Based Surrogate Models Using Bilevel OptimizationDanimir T. DoncevicAlexander MitsosManuel DahmenArtur SchweidtmannTim Kerkenhoff2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(152h) Predicting Temperature-Dependent Activity Coefficients of Ionic Liquid-Solute Systems through Graph-Based Machine LearningJan G. RittigKarim Ben HichamArtur M. SchweidtmannManuel DahmenAlexander Mitsos2022 Annual Meeting (543d) Computer-Aided Fuel Design with Generative Graph Machine LearningJan G. RittigMartin RitzertArtur M. SchweidtmannStefanie WinklerJana M. WeberPhilipp MorschKarl A. HeuferMartin GroheAlexander MitsosManuel Dahmen2022 Annual Meeting (236g) Comando: An Open-Source Python Package for Optimal Design and Operation of Energy SystemsMarco LangiuDavid Yang ShuFlorian Joseph BaaderDominik HeringUwe BauAndré XhonneuxManuel DahmenDirk MüllerAndré BardowAlexander Mitsos2022 Annual Meeting (690c) Globally Optimal Design and Operation of an Air-Cooled Geothermal Organic Rankine CycleMarco LangiuAlexander MitsosManuel Dahmen2022 Annual Meeting Associated proceedings: 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting
