Results 131 to 140 of about 20,766 (186)

A Random Walker Algorithm for Plate Boundary Detection in Spherical Mantle Convection Models and Global Geophysical Data Sets: Application to Euler Vector Determination

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract As spherical shell mantle convection models become increasingly commonplace, understanding how plates are generated has raised the issue of how to recognize whether rigid plates are present in model output. Tectonocists have long recognized that intraplate regions are not rigid without exception.
P. Javaheri, J. P. Lowman
wiley   +1 more source

Surrogate modeling of Cellular-Potts agent-based models as a segmentation task using the U-Net neural network architecture. [PDF]

PLoS Comput Biol
Comlekoglu T, Toledo-Marín JQ, Comlekoglu T, DeSimone DW, Peirce SM, Fox G, Glazier JA.   +6 more
europepmc   +1 more source

The Arctic Coastal Erosion Model: Overview, Developments, and Calibration at Drew Point, Alaska

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.
Abstract Permafrost coastlines are experiencing significant erosion as polar amplification has enhanced the effects of climate change in the Arctic. Warmer temperatures are increasing thermo‐denudation and more energetic oceans are increasing thermo‐abrasion in unlithified, ice‐bonded permafrost coastlines which comprise at least 40% of the circum ...
Elyce Bayat, Diana L. Bull, Jennifer M. Frederick, Alejandro Mota, Benjamin M. Jones, Irina Tezaur, Christopher Flanary, Emily M. Bristol, Melissa Ward Jones, Robert C. Choens, Craig A. Jones   +10 more
wiley   +1 more source

Physics-Informed Emulation of Systemic Circulation for Fast Parameter Estimation and Uncertainty Quantification. [PDF]

Int J Numer Method Biomed Eng
Ryan W, Taylor-LaPole A, Olufsen M, Husmeier D, Vyshemirskiy V.   +4 more
europepmc   +1 more source

Guided Unconditional and Conditional Generative Models for Super‐Resolution and Inference of Quasi‐Geostrophic Turbulence

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.
Abstract Typically, numerical simulations of Earth systems are coarse, and Earth observations are sparse and gappy. We apply four generative diffusion modeling approaches to super‐resolution and inference of forced two‐dimensional quasi‐geostrophic turbulence on the β $\beta $‐plane from coarse, sparse, and gappy observations.
Anantha Narayanan Suresh Babu, Akhil Sadam, Pierre F. J. Lermusiaux   +2 more
wiley   +1 more source

Implicit Low-Rank Riemannian Schemes for the Time Integration of Stiff Partial Differential Equations. [PDF]

J Sci Comput
Sutti M, Vandereycken B.
europepmc   +1 more source

Modeling Transient Groundwater Flow in Unconfined Aquifers Under Dynamic Conditions Using Physics‐Informed Neural Networks

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Deep learning neural networks (DLNNs) hold great potential for modeling groundwater flow, but their performance depends on data availability. Physics‐informed neural networks (PINNs) help to reduce the reliance of DLNNs on data by integrating physical laws into the training process. This approach is increasingly used in applications related to
Adhish Virupaksha, François Lehmann, Hussein Hoteit, Anis Younes, Marwan Fahs, Thomas Nagel   +5 more
wiley   +1 more source

Novel approximate solutions of the fractional form of graphene sheet thermophoretic motion model. [PDF]

Sci Rep
Abdel-Aty AH, Hafez M, Wan Niu Voon B, Albalawi W, Abdalla M, Mohamed Ali H.   +5 more
europepmc   +1 more source

Treatment Patterns and Healthcare Utilization on Pediatric Atopic Dermatitis With Allergic Comorbidities: A Japanese Claims‐Based Study

The Journal of Dermatology, Volume 53, Issue 3, Page 437-446, March 2026.
ABSTRACT Atopic dermatitis (AD) is a chronic, itchy skin disease that often begins in infancy and may persist into adulthood. The high co‐occurrence of allergic comorbidities (ACMs; asthma, food allergy, and allergic rhinitis) makes it a growing public health concern.
Masaki Futamura, Yumi Kang, Ambrish Singh, Junichi Danjo, Takashi Matsuo, Hitoe Torisu‐Itakura, Mizuho Nagao   +6 more
wiley   +1 more source

AI for atmosphere-ocean sciences: advancements, challenges and ways forward. [PDF]

Natl Sci Rev
Luo JJ, Xia J, Pan B, Ham YG, Li X, Shangguan W, Xue W, Wang Y, Mu B, Hong Y, Li H, Zhong X, Dai K, Bai L, Ling F, Boers N, Bretherton C, Chen B, Cho D, Gentine P, Guo Z, Huang X, Kang D, Kim HJ, Kim JH, Lei L, Meng F, Oh SH, Qin B, Shen Z, Sun Q, Tang Y, Tong X, Wan B, Wang L, Wang Y, Wang Y, Wu J, Xiao Y, Yao L, Yang S, Yuan C, Yuan S, Yu T, Zhao M.   +44 more
europepmc   +1 more source