Results 221 to 230 of about 1,624,240 (288)

A Geometrically Regularized Gradient‐Damage Model With Orthogonality‐Based Energy Split for Dynamic Anisotropic Compression‐Shear Fracture

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 13, Page 5185-5212, September 2026.
ABSTRACT This study proposes a novel geometrically regularized gradient‐damage model for simulating dynamic mixed‐mode fracture in orthotropic materials with tension–compression asymmetry. In this model, a thermodynamic framework is formulated by incorporating damage dissipation into internal energy evolution, from which the constitutive relation and ...
Hui Li, Shanyong Wang
wiley   +1 more source

Laplacian Energy of Graphs

open access: yesپژوهش‌های ریاضی, 2020
hamideh Aram   +2 more
doaj  

Intra‐MRI Head Motion Tracking and Correction: A Quantitative In Vivo Evaluation Framework

open access: yesNMR in Biomedicine, Volume 39, Issue 9, September 2026.
This framework introduces, for the first time, an in vivo quantification of intra‐MRI head tracking accuracy and precision. By comparing a markerless optical system (MOS) and fat‐signal navigators (FatNav) against a rigid registration‐based reference standard, it successfully detects subtle, axis‐specific performance differences and strengths between ...
Zakaria Zariry   +10 more
wiley   +1 more source

Mechanically Interlocked Molecules: A Supramolecular Computational Picture of Rotaxane‐Based Switches, Shuttles, and Tristable Devices in Solution

open access: yesChemistryOpen, Volume 15, Issue 9, September 2026.
This contribution highlights recent studies focused on mechanically interlocked molecules. By combining density functional theory‐converged wavefunctions with highly effective real‐space algorithms for visualizing and quantifying covalent bonds and noncovalent interactions, a first‐principles description of the driving forces governing molecular motion,
Costantino Zazza
wiley   +1 more source

Genome–phenome association prediction using weighted deep matrix factorization with a multisource graph attention network

open access: yesQuantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Genome–phenome association (GPA) prediction can broaden the understanding of biological mechanisms underlying complex phenotypic traits (e.g., diseases and agronomic traits). Traditional deep matrix factorization (DMF)‐based GPA methods can integrate multiple data types and uncover nonlinear associations but often rely on low‐dimensional ...
Ran Duan   +4 more
wiley   +1 more source

Single‐cell marker gene clustering: A unified deep learning framework for marker gene‐based clustering of single‐cell RNA‐sequencing data

open access: yesQuantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Single‐cell RNA sequencing (scRNA‐seq) has transformed the study of cellular heterogeneity by making it possible to classify individual cells and their functional states. However, the analysis remains difficult because high dropout rates lead to sparse and noisy expression data.
Shahriar Rahman Niloy   +5 more
wiley   +1 more source

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