2024 Annual Safety in Ammonia Plants and Related Facilities Symposium September 9-12, 2024 Manchester Grand Hyatt, San Diego, CA
4th Optogenetic Technologies and Applications Conference September 10-12, 2024 Wightman Mansion, Boston University, Boston, MA, USA
Procesa 2024: 6th AIChE Latin America Student Regional Conference August 26-29, 2024 Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Cusco, Peru
2024 Indonesia Student Regional Conference August 30-31, 2024 Politeknik Energi dan Mineral Akamigas, Cepu, Blora, Central Java, Indonesia
CCPS Workshop on Process Safety Metrics: API-RP-754 Implementation September 4-5, 2024 Carlton AI Moaibed Hotel, Dammam, Saudi Arabia
2024 Annual Safety in Ammonia Plants and Related Facilities Symposium September 9-12, 2024 Manchester Grand Hyatt, San Diego, CA
4th Optogenetic Technologies and Applications Conference September 10-12, 2024 Wightman Mansion, Boston University, Boston, MA, USA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
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 (ISBN: 978-0-8169-1118-9)(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 (ISBN: 978-0-8169-1118-9)(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 (ISBN: 978-0-8169-1118-9)(690c) Globally Optimal Design and Operation of an Air-Cooled Geothermal Organic Rankine CycleMarco LangiuAlexander MitsosManuel Dahmen2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(305g) Scenario Generation for Day-Ahead Scheduling Problems Using Normalizing FlowsEike CramerAlexander MitsosManuel Dahmen2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(386d) End-to-End Reinforcement Learning of Koopman Models for Economic Model Predictive ControlDaniel MayfrankAlexander MitsosManuel Dahmen2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(149v) Physics-Informed Neural Networks (PINNs) for Modeling Dynamic Processes Based on Limited Physical Knowledge and DataMehmet VeliogluManuel DahmenAlexander Mitsos2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting
