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.
Erich A. Müller Citation name Müller, E. A. Affiliation Imperial College London Country United Kingdom Authored(51f) Prediction of the Water/Oil Interfacial Tension from Molecular Simulations Using the Coarse Grained SAFT-γ Mie Force FieldCarmelo HerdesÅsmund ErvikAndres MejíaErich A. Müller2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(87a) The Role of the Intermolecular Potential on the Dynamics of C2H4 Confined in Cylindrical NanoporesFernando J. A. L. CruzErich A. MüllerJosé P. B. Mota2012 Spring Meeting & 8th Global Congress on Process Safety (428g) Multiscale Molecular Dynamics Simulations of Asphaltenes in Crude Oils Based on the SAFT-? Mie Force FieldJason LawMaría Guadalupe Jiménez-SerratosErich A. Müller2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(147c) Interfacial Tensions from SAFT: Connecting Equations of State to Molecular SimulationsErich A. Müller2017 Annual Meeting (ISBN: 978-0-8169-1102-8)(455e) Development of Accurate Coarse Grained Surface-Particle Force FieldsErich A. Müller2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)(95b) Coarse-Grained SAFT-? Force Fields for the Molecular Modelling of Resins and AsphaltenesGuadalupe Jiménez-SerratosGeorge JacksonErich A. MüllerTim Totton2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(588e) Predicting the pressure dependence of the viscosity of 2,2,4-trimethylhexane using the SAFT coarse-grained force fieldLingru ZhengMartin TruslerFernando BresmeErich A. Müller2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(232c) Machine Learning for Fluid Property Correlations: Classroom Examples with MatlabErich A. MüllerLisa Joss2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(356a) Shifting Paradigms: Using Molecular Dynamics with Machine Learning for the Calculation of Thermodynamic Properties of FluidsErich A. MüllerKezheng Zhu2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1) Associated proceedings 2016 AIChE Annual Meeting 2012 Spring Meeting & 8th Global Congress on Process Safety 2017 Annual Meeting 2013 AIChE Annual Meeting 2018 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting