Results 151 to 160 of about 1,506 (212)

Generative tissue modeling for customized biomechanical analysis: a data-driven synthesis framework of simulation-ready 3D shapes. [PDF]

open access: yesFront Bioeng Biotechnol
Ma J   +9 more
europepmc   +1 more source

Persistent sheaf Laplacian analysis of protein stability and solubility changes upon mutation

open access: yesProtein Science, Volume 35, Issue 8, August 2026.
Abstract Genetic mutations frequently disrupt protein structure, stability, and solubility, acting as primary drivers for a wide spectrum of diseases. Despite the critical importance of these molecular alterations, existing computational models often lack interpretability and fail to integrate essential physicochemical interactions.
Yiming Ren   +4 more
wiley   +1 more source

Testing for Conformity With Parametric Distributions Using Level Sets: From Univariate to Bivariate Applications

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.
ABSTRACT Conformity of observed data with a postulated probability distribution is a fundamental problem of statistical modeling. Current tools for checking distributional conformity are often limited to univariate settings, with extensions to multivariate distributions facing challenges in interpretability and power.
Rasha Alsaadawi, Nitai D. Mukhopadhyay
wiley   +1 more source

Synergistic Engineering of Nanostructures via Anodic Aluminum Oxide Templates and Atomic Layer Deposition: Design Principles, Mechanisms, and Applications

open access: yesSmall Structures, Volume 7, Issue 8, August 2026.
Anodic aluminum oxide (AAO) templates combined with atomic layer deposition (ALD) constitute a synergistic platform for engineering functional nanostructures within highly ordered, high‐aspect‐ratio porous architectures. By linking precursor transport modeling, surface chemistry control, and tailored ALD strategies, this review establishes a unified ...
Hyeon Joon Choi   +7 more
wiley   +1 more source

iS‐GNN: Interpolation of Crustal Stress Maps Using a Graph Neural Network Model

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Estimating the orientation of the maximum horizontal stress (SHmax) from sparse and unevenly distributed geophysical observations remains a persistent challenge in tectonic and geomechanical stress studies. Classical interpolation methods often neglect the multiscale tectonic–geological heterogeneity of the crust, leading to biased estimates ...
Kwame A. Gyamfi, Michele M. C. Carafa
wiley   +1 more source

Learning Vertical Coordinates via Automatic Differentiation of a Dynamical Core

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Terrain‐following coordinates in atmospheric models often imprint their grid structure onto the solution, particularly over steep topography, where distorted coordinate layers can generate spurious horizontal and vertical motion. Standard formulations, such as hybrid or SLEVE coordinates, mitigate these errors by using analytic decay functions
Tim Whittaker   +4 more
wiley   +1 more source

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