Slurry-phase ethylene polymerization processes: a review on multiscale modeling and simulations

AK Thakur, SK Gupta, P Chaudhari - Reviews in Chemical …, 2022 - degruyter.com
Slurry polymerization processes using Zeigler–Natta catalysts, are most widely used for the
production of polyethylene due to their several advantages over other processes. Significant …

[HTML][HTML] Machine learning for guiding high-temperature PEM fuel cells with greater power density

LA Briceno-Mena, G Venugopalan, JA Romagnoli… - Patterns, 2021 - cell.com
High-temperature polymer electrolyte membrane fuel cells (HT-PEMFCs) are enticing
energy conversion technologies because they use low-cost hydrogen generated from …

Modeling and Parameter Estimation for Gas‐Phase Polyethylene Product Properties Using Dynamic and Steady‐State Data

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 …

Simulation approach to study kinetic heterogeneity of gadolinium catalytic system in the 1,4-cis-polyisoprene production

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 …

Optimization of a cyclone reactor for biomass hydropyrolysis through global sensitivity analysis and stochastic optimization

Y Gonzalez, W Angulo, D De Cecchis, M Lucena… - Computer Aided …, 2020 - Elsevier
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 …

Modelling Observations of Dynamical Systems with Memory

N Wulkow - 2022 - refubium.fu-berlin.de
Die dominanten mathematischen Regeln eines dynamischen Systems aus Daten zu
ermitteln ist weiterhin eine Herausforderung, welche besonders schwierig wird, wenn die …

Special Issue on “Computational Methods for Polymers”

M Soroush - Processes, 2020 - mdpi.com
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 …

A Decoupled Data-Driven Strategy for Estimating Parameters with Nonlinear Dependence

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 …

[PDF][PDF] Modeling and multi-objective optimization of an industrial high density polyethylene slurry reactor

AK Thakur - 2021 - dr.ddn.upes.ac.in
Chemical Engineering Page 1 MODELING AND MULTI-OBJECTIVE OPTIMIZATION OF AN
INDUSTRIAL HIGH DENSITY POLYETHYLENE SLURRY REACTOR A thesis submitted to the …

Online Decoupled Data-Driven Estimation of Nonlinear Kinetic Parameters

W Angulo, D De Cecchis, SD Salas - Computer Aided Chemical …, 2020 - Elsevier
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 …