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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
