Uncertainty Quantification in Computational Fluid Dynamics: Physics and Machine Learning Based Approaches [PDF]
Minghan Chu
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Biomaterial Strategies for Targeted Intracellular Delivery to Phagocytes
Phagocytes are essential to a functional immune system, and their behavior defines disease outcomes. Engineered particles offer a strategic opportunity to target phagocytes, harnessing inflammatory modulation in disease. By tuning features like size, shape, and surface, these systems can modulate immune responses and improve targeted treatment for a ...
Kaitlyn E. Woodworth +2 more
wiley +1 more source
Physics-constrained deep learning of nonlinear normal modes of spatiotemporal fluid flow dynamics
Abdolvahhab Rostamijavanani +2 more
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Most matter is nominally frozen in the polar regions or space, and liquid crystal materials are no exception. Consequently, soft actuators, including liquid crystal elastomers (LCEs), are inoperative under such extreme cold in response to stimuli, as their motion relies on mechanical deformation.
Hyeonseong Kim +5 more
wiley +1 more source
This study presents an injectable hydrogel that responds to Pseudomonas aeruginosa infection by releasing a dual‐phage cocktail on demand. The system degrades selectively in infected wounds, enhances phage localization and stability, and shows potent antibiofilm activity and biocompatibility in an ex vivo human skin model—offering a promising strategy ...
Siyuan Tao +9 more
wiley +1 more source
Complex soliton wave patterns of Gross-Pitaevskii systems: application in quantum and optical engineering. [PDF]
Bilal M +5 more
europepmc +1 more source
A scalable biomimetic platform transforms bioinert poly(ethylene glycol) diacrylate into neuroinstructive matrices via integrating solvent transfer‐induced phase separation, microfluidics, and 3D bioprinting. Bicontinuous, hyperbolically curved microporous networks embedded within a fibrous construct elicit rapid adhesion, robust proliferation, and ...
Prince D. Okoro +8 more
wiley +1 more source
Analysis of the EMHD nanofluid flow for geothermal pipelines using physics-driven deep learning. [PDF]
Faiza +5 more
europepmc +1 more source
HOSVD-SR: A Physics-Based Deep Learning Framework for Super-Resolution in Fluid Dynamics [PDF]
Ashton Hetherington +2 more
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A General Strategy for Physics-Based Model Validation Illustrated with Earthquake Phenomenology, Atmospheric Radiative Transfer, and Computational Fluid Dynamics [PDF]
Didier Sornette +3 more
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