Results 91 to 100 of about 24,798 (283)
Multiscale statistical analysis of coronal solar activity
Multi-filter images from the solar corona are used to obtain temperature maps which are analyzed using techniques based on proper orthogonal decomposition (POD) in order to extract dynamical and structural information at various scales.
del-Castillo-Negrete, Diego +2 more
core +2 more sources
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley +1 more source
Model Order Reduction for Nonlinear Schr\"odinger Equation
We apply the proper orthogonal decomposition (POD) to the nonlinear Schr\"odinger (NLS) equation to derive a reduced order model. The NLS equation is discretized in space by finite differences and is solved in time by structure preserving symplectic mid ...
Akkoyunlu, Canan +2 more
core +1 more source
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal +2 more
wiley +1 more source
Nanomaterial‐based immune therapeutic strategies in neurodegenerative diseases
This review highlights the immunomodulatory potential of nanomaterials (NMs) in treating neurodegenerative diseases (NDs). It focuses on their roles in regulating innate and adaptive immune responses to maintain immune homeostasis. By providing insights into these mechanisms, the review lays the groundwork for innovative NMs therapeutic strategies to ...
Xinru Zhou +6 more
wiley +1 more source
Over the last decades the method of proper orthogonal decomposition (POD) has been successfully employed for reduced order modelling (ROM) in many applications, including distributed parameter models of chemical reactors.
Bizon Katarzyna
doaj +1 more source
We consider the optimal control problem governed by diffusion convection reaction equation without control constraints. The proper orthogonal decomposition(POD) method is used to reduce the dimension of the problem. The POD method may be lack of accuracy
Akman, Tuğba
core +1 more source
Marine silicon for biomedical sustainability
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han +3 more
wiley +1 more source
A streamline derivative POD-ROM for advection-diffusion-reaction equations*
We introduce a new streamline derivative projection-based closure modeling strategy for the numerical stabilization of Proper Orthogonal Decomposition-Reduced Order Models (POD-ROM).
Rubino Samuele
doaj +1 more source
Analysis of V-Gutter Reacting Flow Dynamics Using Proper Orthogonal and Dynamic Mode Decompositions
The current work is focused on investigating the potential of data-driven post-processing techniques, including proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) for flame dynamics.
Yang Yang, Xiao Liu, Zhihao Zhang
doaj +1 more source

