Results 161 to 170 of about 81,230 (240)

NeuberNet: a neural operator solving elastic-plastic partial differential equations at V-notches from low-fidelity elastic simulations. [PDF]

Commun Eng
Grossi T, Beghini M, Benedetti M.
europepmc   +1 more source

EVSS‐Based Simulation Techniques for the Viscoelastic Fluids With Pure Polymer Melts Using Three‐Field Approach

International Journal for Numerical Methods in Fluids, Volume 98, Issue 4, Page 492-509, April 2026.
This paper presents a finite element method for simulating highly viscoelastic flows of pure polymer melts using the Elastic Viscous Stress Splitting formulation. The method avoids higher‐order derivatives in the weak formulation by reformulating the convective term in the constitutive equation.
R. Ahmad, P. Zajac, S. Turek
wiley   +1 more source

Robust bilinear rotations. [PDF]

Sci Adv
Woordes YT, Reinsperger T, Ehni S, Luy B.   +3 more
europepmc   +1 more source

Construction and Damage Analysis of a Three‐Factor Collision Model for Potato‐Soil‐Pole

Food Science &Nutrition, Volume 14, Issue 4, April 2026.
In this study, the potato‐soil‐pole three‐factor collision model was constructed with the potato‐soil ratio, impact velocity and impact object as the core factors, and a new coupled pole was designed to alleviate the impact damage. The potato‐soil finite element model was constructed by reverse engineering, and the deviation of the traditional ...
Qiang Guo, Houzhuo Xu, Chengjun Zhang, Wei Li, Haitao Li   +4 more
wiley   +1 more source

A Chinese Traditional Opera Video Super-Resolution Dataset Based on the "Real-world+" Degradation Fusion. [PDF]

Sci Data
Xi W, Qin B, Zhang Y, Yang X.
europepmc   +1 more source

GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes, Steven C. Chan, Archie Cable, Duo Chan, Agnieszka Faulkner, Elizabeth C. Kent, Joseph T. Siddons   +6 more
wiley   +1 more source

Existence and stability of time-fractional Keller-Segel-Navier-Stokes system with Poisson jumps. [PDF]

Sci Rep
Divyabala K, Durga N.
europepmc   +1 more source

DASNordicSLR—A Regional Dataset of Sea Level Projections for Northern Europe

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
Relative sea level projections for Northern Europe (DASNordicSLR) combine IPCC‐AR6 projections with vertical land motion data from NKG2016LU. The resulting high‐resolution dataset enables a realistic representation of regional sea level change along coastlines, supporting climate services and coastal risk assessments with spatially detailed insights ...
Corinna Jensen, Frank Janssen, Tim Kruschke   +2 more
wiley   +1 more source

Spin conductivity in two-dimensional Heisenberg model on Lieb lattice under magnetic field and spin-orbit interactions. [PDF]

Sci Rep
Azizi F, Rezania H.
europepmc   +1 more source

Hierarchical Testing of a Hybrid Machine Learning‐Physics Global Atmosphere Model

AGU Advances, Volume 7, Issue 2, April 2026.
Abstract Machine learning (ML)‐based models have demonstrated high skill and computational efficiency, often outperforming conventional physics‐based models in weather and subseasonal predictions. While prior studies have assessed their fidelity in capturing synoptic‐scale atmospheric dynamics, their performance across timescales and under out‐of ...
Ziming Chen, L. Ruby Leung, Wenyu Zhou, Jian Lu, Sandro W. Lubis, Ye Liu, Chuan‐Chieh Chang, Bryce E. Harrop, Ya Wang, Mingshi Yang, Gan Zhang, Yun Qian   +11 more
wiley   +1 more source