Results 101 to 110 of about 81,957 (247)
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray +5 more
wiley +1 more source
Two implicit Hybrid block methods at step length ????=2 and 3 were derived through collocation procedures. The two derived block methods also reconstructed to an equivalent S stage Runge-Kutta type methods for the solution of ????′=????(????,????).
Ademola M Badmus, Mohammed S Mohammed
doaj
Impact of small‐scale gravity waves on tracer transport
We extend a gravity wave (GW) parametrization to calculate the tracer transport due to the GW–Stokes drift and next‐order effects, where the approach is validated by comparing coarse‐resolution simulations with parametrized GWs to high‐resolution, wave‐resolving reference simulations.
Irmgard Knop +2 more
wiley +1 more source
Randomized Low-Rank Runge–Kutta Methods
This work proposes and analyzes a new class of numerical integrators for computing low-rank approximations to solutions of matrix differential equation. We combine an explicit Runge-Kutta method with repeated randomized low-rank approximation to keep the rank of the stages limited.
Hei Yin Lam +2 more
openaire +2 more sources
Hydrogen‐based direct reduced iron (H‐DRI) melts differently from scrap and carbon‐bearing DRI. This work combines differential scanning calorimetry experiments, FactSage thermodynamics, and simple composition‐based regression to predict solidus, liquidus, heat capacity, and enthalpy for H‐DRI.
Ankur Agnihotri +3 more
wiley +1 more source
Structural Feature Selection in Common Spatial Patterns Using Adaptive Sparse Group Lasso
ABSTRACT With the advancement of brain–computer interfaces (BCI), motor imagery (MI) electroencephalogram (EEG) decoding can greatly benefit from spatial filtering features derived from common spatial patterns (CSP). However, CSP‐based features often exhibit high redundancy and intersubject variability.
Yadi Wang +4 more
wiley +1 more source
Modified Diagonally Implicit Runge-Kutta Methods
Experimental evidence indicates that the implementation of Newton's method in the numerical solution of ordinary differential equations (y'=f(t,y), y(a)=y_circle, t in [a,b]) by implicit computational schemes may cause difficulties. This is especially true in the situation where (i) f(t,y) and/or f'(t,y) are quickly varying in t and/or y and (ii) a low
openaire +2 more sources
ABSTRACT The internal pressure fluctuations caused by vibration in oil‐immersed electrical equipment can initiate bubbles within narrow oil gaps, reducing the electrical strength of equipment and giving rise to the problem of abnormal gas production in oil‐immersed equipment.
Jiajun Yang, Tao Zhao, Yunpeng Liu
wiley +1 more source
Abstract figure legend Using a multiscale computational model of left ventricular electromechanics, we investigated how sarcomere dynamics influence the end‐systolic pressure‐volume (ESPV) relationship in ejecting beats compared to isovolumetric beats.
Francesco Regazzoni +2 more
wiley +1 more source
Abstract figure legend Stasis before and after left atrial appendage occlusion (LAAO) in participants with high stasis and low stasis. Stasis is predominantly located in LAA and reduced after LAAO. But in the participant with high stasis, stasis remains close to the occlusion site, indicating a potential risk for device related thrombi.
Sophia Bäck +6 more
wiley +1 more source

