Results 221 to 230 of about 53,436 (301)
Learning nonparametric ordinary differential equations from noisy data. [PDF]
Lahouel K +5 more
europepmc +1 more source
Jupyter Notebooks for numerical approximation of ordinary differential equations
Chouly, Franz
openalex +1 more source
Dynamic Precipitation during High‐Pressure Torsion of a Magnesium–Manganese Alloy
An ultrafine‐grained alloy is produced by high‐pressure torsion of solutionized Mg–1.35 wt% Mn. Precipitation of nanometer‐scale Mn particles during deformation provides pinning sites. This prevents the formation of a bimodal grain structure and results in a finer grain size than for pure Mg.
Julian M. Rosalie, Anton Hohenwarter
wiley +1 more source
Applying neural ordinary differential equations for analysis of hormone dynamics in Trier Social Stress Tests. [PDF]
Parker C, Nelson E, Zhang T.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations. [PDF]
Salvador M +6 more
europepmc +1 more source
The effect of temperature controllers that are commonly used in freeze‐casting is investigated in this work. Temperature controllers are observed to generate a voltage in the slurry. Microstructural alignment and ultimate compressive strength data show this voltage to interfere with the ability to align the microstructure using magnetic fields ...
Maddie A. Schmitz, Steven E. Naleway
wiley +1 more source
Using neural ordinary differential equations to predict complex ecological dynamics from population density data. [PDF]
Arroyo-Esquivel J +2 more
europepmc +1 more source
This article describes the preparation and characterization of poly(ε‐caprolactone) electrospun composite fibers incorporating sol‐gel‐derived bioactive glass particles doped with B and Cu. Scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, Fourier‐transform infrared spectroscopy, contact angle, acellular bioactivity, mechanical and ...
Elisa Piatti +5 more
wiley +1 more source
Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello +5 more
wiley +1 more source

