Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review

S Zendehboudi, N Rezaei, A Lohi - Applied energy, 2018 - Elsevier
Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …

Bioprocessing in the digital age: the role of process models

H Narayanan, MF Luna, M von Stosch… - Biotechnology …, 2020 - Wiley Online Library
In this age of technology, the vision of manufacturing industries built of smart factories is not
a farfetched future. As a prerequisite for Industry 4.0, industrial sectors are moving towards …

Hybrid semi-parametric modeling in process systems engineering: Past, present and future

M Von Stosch, R Oliveira, J Peres… - Computers & Chemical …, 2014 - Elsevier
Hybrid semi-parametric models consist of model structures that combine parametric and
nonparametric submodels based on different knowledge sources. The development of a …

Assessment of recent process analytical technology (PAT) trends: a multiauthor review

LL Simon, H Pataki, G Marosi, F Meemken… - … Process Research & …, 2015 - ACS Publications
This multiauthor review article aims to bring readers up to date with some of the current
trends in the field of process analytical technology (PAT) by summarizing each aspect of the …

Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling

D Lee, A Jayaraman, JS Kwon - PLoS Computational Biology, 2020 - journals.plos.org
Develo** an accurate first-principle model is an important step in employing systems
biology approaches to analyze an intracellular signaling pathway. However, an accurate first …

Machine learning in fermentative biohydrogen production: advantages, challenges, and applications

AK Pandey, J Park, J Ko, HH Joo, T Raj, LK Singh… - Bioresource …, 2023 - Elsevier
Hydrogen can be produced in an environmentally friendly manner through biological
processes using a variety of organic waste and biomass as feedstock. However, the …

Large-scale production and purification of VLP-based vaccines

T Vicente, A Roldão, C Peixoto, MJT Carrondo… - Journal of invertebrate …, 2011 - Elsevier
Virus-like particles (VLPs) hold tremendous potential as vaccine candidates. These
innovative biopharmaceuticals present the remarkable advantages of closely mimicking the …

Bioprocessing 4.0: a pragmatic review and future perspectives

K Isoko, JL Cordiner, Z Kis, PZ Moghadam - Digital Discovery, 2024 - pubs.rsc.org
In the dynamic landscape of industrial evolution, Industry 4.0 (I4. 0) presents opportunities to
revolutionise products, processes, and production. It is now clear that enabling technologies …

Process analytical technology (PAT) for biopharmaceuticals

J Glassey, K Gernaey, C Clemens, TW Schulz… - Biotechnology …, 2011 - orbit.dtu.dk
Process analytical technology (PAT), the regulatory initiative for building in quality to
pharmaceutical manufacturing, has a great potential for improving biopharmaceutical …

[HTML][HTML] A hybrid dynamic model for the prediction of molten iron and slag quality indices of a large-scale blast furnace

P Azadi, J Winz, E Leo, R Klock, S Engell - Computers & Chemical …, 2022 - Elsevier
The stable, economically optimal, and environmental-friendly operation of blast furnaces is
still a challenge. Blast furnaces consume huge amounts of energy and are among the …