Results 91 to 100 of about 2,699 (199)
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou +6 more
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Discrete fracture network (DFN) models are widely used to simulate fluid and solute transport through fracture networks that serve as their preferential pathways. In DFN models, fractures are generated stochastically based on fracture properties.
S. Okamoto, K. Nakata, K. Mori, T. Saito
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Ocean models can represent surface circulation at kilometer scales, but their computational cost limits broad experimentation. We present DeepCUN, a deep convolutional encoder–decoder (U‐Net) that emulates daily mean Baltic Sea surface current components on a 1‐nautical‐mile grid.
Amirhossein Barzandeh +5 more
wiley +1 more source
Hybridized augmented Lagrangian methods for contact problems
Computer Methods in Applied Mechanics and EngineeringThis paper addresses the problem of friction-free contact between two elastic bodies. We develop an augmented Lagrangian method that provides computational convenience by reformulating the contact problem as a nonlinear variational equality. To achieve this, we propose a Nitsche-based method incorporating a hybrid displacement variable defined on an ...
Erik Burman +2 more
openaire +3 more sources
An Enhanced Langmuir Turbulence Parameterization With Nonlocal Momentum and Scalar Fluxes
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.Abstract Langmuir turbulence plays a critical role in the oceanic surface boundary layer by efficiently transporting momentum, heat, gases, and nutrients. Since its characteristic scale (meters to tens of meters) is far smaller than typical grid cells of ocean general circulation models, it must be parameterized.
Peng Wang
wiley +1 more source
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. [PDF]
Comput Vis ECCV, 2020 Lokhande VS, Akash AK, Ravi SN, Singh V.
europepmc +1 more source
Predicting Coronal Mass Ejection Travel Times Using Enhanced Model‐Guided Machine Learning
Space Weather, Volume 24, Issue 8, August 2026.Abstract Coronal mass ejections (CMEs) are key drivers of space weather events, posing risks to both space‐borne and ground‐based systems. An accurate prediction of their arrival time at Earth is critical for impact mitigation. To this end, physics‐informed artificial intelligence (AI) approaches have proven more effective than purely data‐driven or ...
M. Lampani +4 more
wiley +1 more source
Some New Developments in Contact Pressure Optimization
Engineering Transactions, 1995 Relatively few works have dealt with the optimization problems of bodies in contact. The present work is intended as a contribution to the determination of contact pressure distribution in the frame of linear elasticity. Solution of frictionless contact
I. Páczelt
doaj
European Physical Journal C: Particles and FieldsMotivated by the symmetry in the non-relativistic limit of anti-de Sitter geometry, we employ planar dynamical models featuring exotic (deformed) harmonic oscillators, presented through direct and indirect Lagrangian representations.
Sayan Kumar Pal, Partha Nandi
doaj +1 more source
Ain Shams Engineering JournalSimultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is a new wireless communication technology with bidirectional transmission.
Wenjie Wu, Zhongqiang Luo
doaj +1 more source