Results 71 to 80 of about 1,423,869 (377)
In the context of the energy transition, efficient energy systems are desired. One promising approach is the use of piston engines for energy and species conversion.
Mathias Lemke+3 more
doaj
This work aims to find the influence of the liquid viscosity on the shape of an air Taylor bubble, rising up in a pipe column which contains the liquid under conditions that the liquid is stagnant and the Froude number is approximately equal to 0.35 ...
B. Lertnuwat
doaj +1 more source
Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize [PDF]
Fast and stable fluid simulations are an essential prerequisite for applications ranging from computer-generated imagery to computer-aided design in research and development. However, solving the partial differential equations of incompressible fluids is a challenging task and traditional numerical approximation schemes come at high computational costs.
arxiv
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal+9 more
wiley +1 more source
Probabilistic projections of the Amery Ice Shelf catchment, Antarctica, under conditions of high ice-shelf basal melt [PDF]
Antarctica's Lambert Glacier drains about one-sixth of the ice from the East Antarctic Ice Sheet and is considered stable due to the strong buttressing provided by the Amery Ice Shelf.
S. Jantre+6 more
doaj +1 more source
Metaphoric optical computing of fluid dynamics [PDF]
We present theoretical and numerical evidence to show that self-defocusing nonlinear optical propagation can be used to compute Euler fluid dynamics and possibly Navier-Stokes fluid dynamics. In particular, the formation of twin vortices and the K\'arm\'an vortex street behind an obstacle, two well-known viscous fluid phenomena, is numerically ...
arxiv
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
Numerical Simulation and Analysis of the Manufacturing Process of Pre-Bulged Rupture Discs
Rupture discs, also known as bursting discs, are indispensable components in fluid-operated systems providing effective protection against hazardous over-pressure or partial vacuum.
Benjamin Treude+2 more
doaj +1 more source
PEM fuel cell geometry optimisation using mathematical modeling
There have been extensive efforts devoted to proton exchangemembrane (PEM) fuel cell modeling and simulations to study fuel cellperformance. Although fuel cells have been successfully demonstrated inboth automotive and stationary power applications ...
E Carcadea+5 more
doaj +1 more source
The successful in situ polymerization of microtubules in giant polymer‐lipid hybrid vesicles is illustrated. The microtubules formed in the giant hybrid vesicles exhibit different morphologies including lumenal network formation and membrane association. Abstract Creating artificial cells with a dynamic cytoskeleton, akin to those in living cells, is a
Paula De Dios Andres+4 more
wiley +1 more source