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.
Huijie Tian Citation name Tian, H. Affiliation Lehigh University State PA Country USA Authored(659d) Bayesian Experimental Design and Mean Field Microkinetic Modeling of Heterogeneous Catalytic SystemsHuijie TianSrinivas Rangarajan2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(443g) Data-Driven Strategy for Ab-Initio Microkinetic Modeling of C1-Reaction on Copper (111) from Disparate Experimental DatasetsSrinivas RangarajanHuijie Tian2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(560ig) Enhancing Ab Initio Microkinetic Models with Machine LearningHuijie TianSrinivas Rangarajan2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(653d) Leveraging Disparate Experimental and Ab Initio Data to Model the Reaction Network of CO2 Upgrading to C1 ProductsSrinivas RangarajanHuijie Tian2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(513fh) Mechanism Inference from Information-Rich Time-Varying Spectrokinetic Data: A Conceptual FrameworkHuijie TianSrinivas Rangarajan2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(219e) Improving Microkinetic Models of Catalytic Reactions Using Machine LearningSrinivas RangarajanHuijie Tian2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(531f) Keynote Talk - Machine Learning of Molecular and Materials Properties at the Low-Data LimitSrinivas RangarajanHuijie TianBowen Li2021 Annual Meeting (ISBN: 978-0-8169-1116-5) Associated proceedings 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting
