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
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.
Felix Dietrich Citation name Dietrich, F. Affiliation Johns Hopkins University State MD Country USA Authored(393f) Data-Driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical SystemsDavid SroczynskiOr YairRonen TalmonIoannis G. KevrekidisFelix Dietrich2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(598a) Towards Global Optimization on Low-Dimensional Surrogates Via Manifold LearningFelix DietrichLogan R. MatthewsDmitry PozharskiyIoannis G. Kevrekidis2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(257f) Explicit Model Predictive Control Using Nonlinear Intrinsic VariablesRobert J. LovelettFelix DietrichDavid SroczynskiIoannis G. Kevrekidis2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(658b) Manifold Learning for Measurements across Several Sensors: Alternating Diffusion, Data Fusion and Constructing Nonlinear Observers for Complex Chemical Reaction NetworksDavid SroczynskiFelix DietrichMahdi KooshkbaghiSeungjoon LeeIoannis G. Kevrekidis2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(126e) Recurrent Neural Networks, Numerical Integrators and Nonlinear System IdentificationThomas BertalanRob FarberThomas ThiemFelix DietrichIoannis G. Kevrekidis2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(369i) Multiple Experts: Using the Mahalanobis Metric to Fuse Data from Different Partial ObservationsDavid SroczynskiFelix DietrichMahdi KooshkbaghiIoannis G. Kevrekidis2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(193c) When Have Two Networks Learned the Same Task? Data-Driven Transformations between System RepresentationsThomas BertalanFelix DietrichThomas ThiemIoannis G. Kevrekidis2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(753d) Data Driven Parameter ReductionThomas ThiemMahdi KooshkbaghiFelix DietrichIoannis G. Kevrekidis2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(110i) Learning Partial Differential Equations from Discrete Space Time Data: Convolutional and Recurrent Networks, and Their Relations to Traditional Numerical MethodsThomas BertalanFelix DietrichThomas ThiemIoannis G. KevrekidisRob FarberAnthony Roberts2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7) Associated proceedings 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting