Results 111 to 120 of about 3,216 (210)
Abstract Despite significant advances in observational systems such as the global Argo array of autonomous profiling floats, the spatiotemporal coverage of subsurface ocean observations remains limited compared to the dense data provided by satellite platforms. This study develops a data‐driven framework to reconstruct synthetic profiles of upper ocean
Guangpeng Liu, Brian Powell
wiley +1 more source
Jet centrifugal pumps frequently suffer from low energy conversion efficiency due to severe fluid mixing and inter-stage interference. To address this, a structural optimization framework combining the continuous adjoint method and machine learning is ...
Weibin Mao +6 more
doaj +1 more source
Abstract Mantle convection drives the solid Earth, powering plate motions, volcanism, and earthquakes while regulating planetary heat loss. Reconstructing its history is hampered by sparse, noisy observations concentrated near the surface and the present day. Here I develop an inverse physics‐informed neural network framework to estimate mantle thermal
Atsushi Nakao
wiley +1 more source
Abstract We demonstrate a data‐driven parameterization framework for snow albedo evolution using a constrained auto‐regressive neural differential equation that directly predicts snow albedo change from standard meteorological inputs. After training with multi‐year in situ and satellite observations from a wide variety of locations, the scheme ...
A. Charbonneau, K. Deck, T. Schneider
wiley +1 more source
Wave Drag Reduction of SC(2)0410 Airfoil using New Developed Inviscid Compressible Adjoint Method
A supercritical airfoil is geometrically optimized using the new developed adjoint compressible lattice Boltzmann method. Minimizing the drag coefficient and eliminating the shock wave on the supercritical airfoil surface are considered as the cost ...
R. Kamali-Moghadam +2 more
doaj
Projectivity, continuity, and adjointness: quantales, Q-posets, and Q-modules
In this paper, projective modules over a quantale are characterized by distributivity, continuity, and adjointness conditions. It firstly generalizes the Joyal-Tierney characterization of projective/flat \(Q\)-modules [\textit{A. Joyal} and \textit{M. Tierney}, Mem. Am. Math. Soc. 309, 71 p.
openaire +2 more sources
A Matrix‐Free, Scalable, and Robust Implicit Material Point Method
ABSTRACT An implicit material point method is presented using a new dynamic relaxation solver, allowing for a simple and efficient quasi‐static formulation that may be readily implemented in existing explicit‐dynamic codes. The use of dynamic relaxation and aggregation is shown to produce an extremely robust material point method scheme, with good ...
Sam J. V. Sutcliffe +5 more
wiley +1 more source
The purpose of this paper is to study the solvability of the quaternary continuous classical boundary optimal control vector problem dominated by quaternary nonlinear parabolic boundary value problem with state constraints.
Jamil A. Ali Al-Hawasy, Fetan J. Naji
doaj +1 more source
Suppressing Stitching Errors in Full‐Sensor‐Plane Color Routers via Optical Structural Similarity
Angle‐specific nanophotonic color routers are assembled from a library of inverse‐designed unit cells matched to local incidence angles. Optical structural similarity (OSS) constrains neighboring permittivity profiles during optimization, suppressing inter‐cell stitching errors without additional full‐wave simulations and enabling oblique‐incidence ...
Donghyun Kim +4 more
wiley +1 more source
Abstract We investigate the structure and tectonic environment in the crust and upper mantle beneath the North China Craton (NCC) by conducting a full‐waveform inversion of teleseismic P and its coda waves from densely distributed broadband seismic stations. A high‐resolution model involving P‐ and S‐wave velocities as well as density is constructed by
Xuan Zhao +4 more
wiley +1 more source

