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.
Georgios Psarellis Citation name Psarellis, G. Affiliation Johns Hopkins University State MD Country USA Authored(373t) Exploring Energy Landscapes Using the Directed Graph LaplacianJuan Bello-RivasNoah J. WichrowskiGeorgios PsarellisIoannis G. Kevrekidis2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(340e) Learning Coarse-Grained Partial Differential Equations from Fine-Scale Data Via Machine LearningSeungjoon LeeGeorgios PsarellisConstantinos SiettosFelix DietrichIoannis G. KevrekidisHassan ArbabiGiovanni Samaey2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(278g) Scientific Computation in the Latent Space through Manifold LearningNikolaos EvangelouFelix DietrichDaniel LehmbergGeorgios PsarellisEliodoro ChiavazzoIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(402g) Connections between Residual Networks and Explicit Numerical Integrators, with Applications to Identification of Noninvertible Dynamical SystemsTianqi CuiThomas BertalanGeorgios PsarellisIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(278h) From Partial Data to out-of-Bounds Parameter and Observation Estimation with Diffusion Maps and Geometric HarmonicsEleni KoronakiAndreas G. BoudouvisNikolaos EvangelouGeorgios PsarellisFelix DietrichIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(340f) Assessing the Response of Dynamic Catalytic SurfacesGeorgios PsarellisM. Alexander ArdaghPaul DauenhauerIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(470f) Learning the Dynamics of Coupled Oscillator Systems through the Discovery of Emergent PDEs Via Artificial Neural Networks and Manifold LearningThomas ThiemThomas BertalanFelix KemethGeorgios PsarellisIoannis G. Kevrekidis2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(549e) Learning Coarse-Scale ODEs/PDEs from Microscopic Data: What and How Can We Learn It from Data?Seungjoon LeeGeorgios PsarellisIoannis G. Kevrekidis2021 Annual Meeting (ISBN: 978-0-8169-1116-5) Associated proceedings 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting
