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.
Shu Yang Citation name Yang, S. Affiliation Rensselaer Polytechnic Institute State NY Country USA Authored(153d) Modeling of Near-Critical and Supercritical Properties Via the Virial Equation of StateShu YangNavneeth GokulAndrew SchultzDavid Kofke2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)(561h) Molecular-Based Virial Coefficients of Pure Fluids and MixturesAndrew SchultzShu YangRamachandran SubramanianAllan H. HarveyDavid A. Kofke2015 AIChE Annual Meeting Proceedings (ISBN: 978-0-8169-1094-6)(334a) Evaluation of Thermodynamic Properties of Gas Mixtures Via the Virial Equation of State With Accurate Molecular ModelsShu YangAndrew SchultzDavid Kofke2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)(303e) Ensuring Convexity in Constrained Optimal Control Using Input Convex Neural NetworksB. Wayne BequetteShu Yang2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(104d) Identification of Critical Process Parameters from Observational Data, a Causal Inference PerspectiveShu YangB. Wayne Bequette2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(182b) Convex Optimal Control of Multi-Time-Scale Systems Using Input Convex Temporal Convolutional Neural NetworksSambit GhoshB. Wayne BequetteShu YangUngorr Nassery2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(374b) Hybrid Modeling of CHO Cell Culture Using Physics Informed Neural NetworksReza KamyarShu YangHuiyi CaoWilliam Fahey2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(61i) Uncertainty Quantification of Physics Informed Neural Networks Using Bayesian-Last-Layer Approach, and Its Application to Real-World BioprocessWilliam FaheyHuiyi CaoReza KamyarShu Yang2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2016 AIChE Annual Meeting 2015 AIChE Annual Meeting Proceedings 2013 AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting