Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Trajectory simulation of multi-body parachute system for airdrop-capable UAVs based on fluid-structure interaction. [PDF]
Guo H, Gao Z, Zhu Z, Zhang M, Zhang J.
europepmc +1 more source
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
An approach to flow field prediction over the horizontal axis wind turbine by passive flow control device using CNN-Autoencoder model. [PDF]
Sedighi H +3 more
europepmc +1 more source
Amorphous calcium phosphate (ACP) microparticles with long‐term and thermal stability are prepared with or without collagen using a scalable one‐pot spray‐drying process. Under simulated physiological conditions, they crystallize into biomimetic bone mineral and, when combined with collagen, form extrudable, fibrillar bone‐like 3D constructs.
Camila Bussola Tovani +13 more
wiley +1 more source
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
Bridging spatial and temporal surface pressure dynamics for gust aerodynamic modeling. [PDF]
Chen D, Liang A, Sun B, Rival DE, Fan D.
europepmc +1 more source
Proceedings of the 7th GAMM‐Conference on numerical methods in fluid mechanics. M. DeVille (ed). ISBN 3 528080949, price £38.25, panel methods in fluid mechanics with emphasis on aerodynamics J. Ballmann, R. Eppler, W. Hackbusch (eds) vols. 20 and 21 in notes on numerical fluid mechanics, ISBN 3528080957, price £29.65, Vieweg, Braunschweig, distributed by Wiley, Chichester [PDF]
openaire +1 more source
This study reports a microfluidic device with a functionalized surface utilizing a polyoxazoline coating and covalently immobilized gold nanoparticles and anti‐phosphatidylserine antibody. The device efficiently eliminates pre‐apoptotic and apoptotic spermatozoa and yields sperm with substantially improved quality and low DNA damage, offering a simple ...
Soraya Rasi Ghaemi +5 more
wiley +1 more source
High-Reynolds-Number Turbulence Database: AeroFlowData. [PDF]
Zhang W +18 more
europepmc +1 more source

