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 …
nonparametric submodels based on different knowledge sources. The development of a …
A hybrid science‐guided machine learning approach for modeling chemical processes: A review
This study presents a broad perspective of hybrid process modeling combining the scientific
knowledge and data analytics in bioprocessing and chemical engineering with a science …
knowledge and data analytics in bioprocessing and chemical engineering with a science …
Assessment of recent process analytical technology (PAT) trends: a multiauthor review
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 …
trends in the field of process analytical technology (PAT) by summarizing each aspect of the …
Advances and new directions in crystallization control
The academic literature on and industrial practice of control of solution crystallization
processes have seen major advances in the past 15 years that have been enabled by …
processes have seen major advances in the past 15 years that have been enabled by …
Hybrid modeling in the era of smart manufacturing
Smart manufacturing (SM) is a new paradigm that allows manufacturing to enter its fourth
revolution by exploiting state-of-the art sensing, communication and computation as the …
revolution by exploiting state-of-the art sensing, communication and computation as the …
Online learning‐based predictive control of crystallization processes under batch‐to‐batch parametric drift
This work considers a seeded fesoterodine fumarate (FF) cooling crystallization and
presents the methodology and implementation of a real‐time machine learning modeling …
presents the methodology and implementation of a real‐time machine learning modeling …
A perspective on PSE in pharmaceutical process development and innovation
KV Gernaey, AE Cervera-Padrell… - Computers & chemical …, 2012 - Elsevier
The pharmaceutical industry is under growing pressure to increase efficiency, both in
production and in process development. This paper discusses the central role of Process …
production and in process development. This paper discusses the central role of Process …
Graph neural networks for the prediction of infinite dilution activity coefficients
The use of predictive methods for physicochemical properties is of special interest given the
difficulties involved in the experimental determination of large chemical spaces. In this work …
difficulties involved in the experimental determination of large chemical spaces. In this work …
Latent variable modeling to assist the implementation of Quality-by-Design paradigms in pharmaceutical development and manufacturing: A review
The introduction of the Quality-by-Design (QbD) initiative and of the Process Analytical
Technology (PAT) framework by the Food and Drug Administration has opened the route to …
Technology (PAT) framework by the Food and Drug Administration has opened the route to …
Application of PAT-based feedback control approaches in pharmaceutical crystallization
Crystallization is one of the important unit operations for the separation and purification of
solid products in the chemical, pharmaceutical, and pesticide industries, especially for …
solid products in the chemical, pharmaceutical, and pesticide industries, especially for …