The objective of this work is to present a review of computational tools and models for
pharmaceutical processes, specifically those for the continuous manufacture of solid dosage …

Engineering advanced methods for example Computational Fluid Dynamics (CFD) are
heavily used to solve, design and model complex industrial applications. They provide high …

In this study, we present a nonintrusive reduced order modeling (ROM) framework for large-
scale quasistationary systems. The framework proposed herein exploits the time series …

A data-driven model for rapid prediction of the steady-state heat conduction of a hot object
with arbitrary geometry is developed. Mathematically, the steady-state heat conduction can …

Abstract Classical Computational Fluid Dynamics (CFD) of long-time processes with strongly
separated time scales is computationally extremely demanding if not impossible …

Equivalent reactor network (ERN) is expected to narrow the gap between the computational
fluid dynamics (CFD) and process simulations of a fluidized bed reactor (FBR). In view of …

We put forth a robust reduced-order modeling approach for near real-time prediction of
mesoscale flows. In our hybrid-modeling framework, we combine physics-based projection …

This paper presents a novel, more efficient proper orthogonal decomposition (POD) based
reduced-order model (ROM) for compressible flows. In this POD model the governing …

During the integrated modeling of a chemical process, there always exists a conflict between
model accuracy and computational speed for non-ideal reactors. In view of this, a novel …

Coupled electro-mechanical problems are frequently encountered when dealing with micro
electro-mechanical systems (MEMS) with capacitive actuation and/or readout systems; their …