High-temperature polymer electrolyte membrane fuel cells (HT-PEMFCs) are enticing energy conversion technologies because they use low-cost hydrogen generated from …
LA Gibson, Y Jiang, T Boller, H Chiang… - Macromolecular …, 2023 - Wiley Online Library
Abstract Models are developed for gas‐phase ethylene/1‐hexene copolymerization using a 3‐site hafnocene catalyst. The models accurately predict joint molecular weight distribution …
E Miftakhov, S Mustafina, A Akimov, S Mustafina - e-Polymers, 2024 - degruyter.com
This article presents a novel simulation approach for solving the inverse problem of kinetic heterogeneity in polymerization processes, specifically focusing on the production of …
This study investigates the use of global sensitivity analysis combined with stochastic optimization for improving the conversion of biomass in an inverted cyclone reactor. A …
Die dominanten mathematischen Regeln eines dynamischen Systems aus Daten zu ermitteln ist weiterhin eine Herausforderung, welche besonders schwierig wird, wenn die …
Polymers play a key role in our daily lives. Natural polymers include proteins, cellulose, nucleic acids, lignin, natural rubber, and wood resins. Examples of manmade polymers are …
SD Salas, W Angulo… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In this work, we introduce a decoupled data-driven methodology for the online estimation of parameters with nonlinear dependence. Common estimation methods for nonlinear systems …
Chemical Engineering Page 1 MODELING AND MULTI-OBJECTIVE OPTIMIZATION OF AN INDUSTRIAL HIGH DENSITY POLYETHYLENE SLURRY REACTOR A thesis submitted to the …
A data-driven parameter estimation strategy is assessed and tested for the estimation of nonlinear parameters in a classic continuous stir tank reactor (CSTR). A decoupled version …