Results 111 to 120 of about 3,765 (220)

Approach for Damage‐Free Disassembly of Highly Stressed CFRP Structures

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT In today's pursuit of sustainability, the aviation industry faces challenges in reusing materials and structural components made from carbon fiber‐reinforced polymer (CFRP). Conventional downcycling methods degrade CFRP's structural integrity by cutting load‐bearing fibers and embedding them in new matrices, reducing performance.
Janko Kreikemeier, Hans Helge Schwieger, Frederik Raake, Steffen Opitz   +3 more
wiley   +1 more source

Physics‐Informed Recurrent Neural Networks for Predicting Elasto‐Plastic Behavior in Hierarchical Finite Element Modeling

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Nanoporous gold, with its hierarchical structure comprising interconnected networks on multiple length scales, poses significant computational challenges for traditional modeling methods. To solve this challenge, this study introduces a physics‐informed recurrent neural network (RNN) to model the homogenized material response of a diamond beam‐
Lena Dyckhoff, Norbert Huber
wiley   +1 more source

A Resource Efficient Ising Model‐Based Quantum Sudoku Solver

Software: Practice and Experience, Volume 56, Issue 6, Page 643-657, June 2026.
ABSTRACT Background Quantum algorithms exploit superposition and parallelism to address complex combinatorial problems, many of which fall into the non‐polynomial (NP) class. Sudoku, a widely known logic‐based puzzle, is proven to be NP‐complete and thus presents a suitable testbed for exploring quantum optimization approaches.
Wen‐Li Wang, Mei‐Huei Tang, Kevin Wang, Muhammad Abdul Basit, Yuan Tian, Md. Sanaul Haque   +5 more
wiley   +1 more source

New Variations and Structural Refinements of Discrete Weighted Jensen and Hermite–Hadamard Inequalities Using (α, m)-Convex Mappings

Journal of Mathematics
This article develops new Hermite–Hadamard and Jensen-type inequalities for the class of α,m-convex functions. New product forms of Hermite–Hadamard inequalities are established, covering multiple distinct scenarios.
Shama Firdous, Waqas Nazeer, Waqar Afzal, Joshua Kiddy K. Asamoah, Hadeel AlQadi   +4 more
doaj   +1 more source

Missing comparability: When genomic selection faces field variability. A case study in soybeans

The Plant Genome, Volume 19, Issue 2, June 2026.
Abstract The processing of phenotypic information prior to training genomic selection (GS) models is a key factor that is frequently overlooked. Several approaches have been proposed to isolate the genetic signal from the field variability. However, in most cases, the estimated genetic signal still carries the field variability print.
Edmundo Caballero, Julian Garcia‐Abadillo, Diego Jarquin   +2 more
wiley   +1 more source

A Neural Operator Emulator for Coastal and Riverine Shallow Water Dynamics

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Coastal regions and river floodplains are particularly vulnerable to the impacts of extreme weather events. Accurate real‐time forecasting of hydrodynamic processes in these areas is essential for infrastructure planning and climate adaptation.
Peter Rivera‐Casillas, Sourav Dutta, Shukai Cai, Mark Loveland, Kamaljyoti Nath, Khemraj Shukla, Corey Trahan, Jonghyun Lee, Matthew Farthing, Clint Dawson   +9 more
wiley   +1 more source

SOME INEQUALITIES OF THE HERMITE HADAMARD TYPE FOR PRODUCT OF TWO FUNCTIONS

Journal of New Theory, 2016
Abstaract−In this paper, we shall establish some new inequalities of the Hermite Hadamard type for product of two functions to belong to the class of s-convex functions and the class of h-convex functions.
Nguyen Ngoc Hue, Duong Quoc Huy
doaj  

Cross‐Dimensional Generative Adversarial Networks (CDGAN) Geomodeling: Bridging 2D Geological Figures and 3D Reservoir Modeling

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Generative adversarial networks (GANs) have proven effective in simulating complex reservoir environments, such as meandering channels and deltas. In classic GANs, the dimensionality of training data determines that of generated data: a 2D (or 3D) reservoir facies simulator (generator) requires training with corresponding 2D (or 3D) data sets.
Xun Hu, Yanshu Yin, Changmin Zhang, Pengfei Xie, Lixin Wang   +4 more
wiley   +1 more source

Projective surfaces not as Hadamard products and the dimensions of the Hadamard joins

Journal of Pure and Applied Algebra
We study the dimensions of Hadamard products of $k\ge 3$ varieties if we allow to modify $k-1$ of them by the action of a general projective linear transformation. We also prove that the join of a variety not contained in a coordinate hyperplane with a ``nice'' curve always has the expected dimension.
openaire   +4 more sources

Spatial and Temporal Patterns of Alkalinity in an Alpine Headwater Stream Network: Linking Catchment Heterogeneity to Carbon Dynamics

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 6, June 2026.
Abstract Alkalinity is a key regulator of carbon dioxide (CO2 ${\text{CO}}_{2}$) dynamics in freshwater systems, influencing both dissolved inorganic carbon speciation and the buffering capacity of water. Despite its importance, alkalinity in freshwater environments remains comparatively underexplored relative to ocean systems.
Francesco Presotto, Giulia Grandi, Rossano Piazza, Paolo Girardi, Enrico Bertuzzo   +4 more
wiley   +1 more source