Results 111 to 120 of about 54,046 (227)

Space‐Time Causal Discovery in Earth System Science: A Local Stencil Learning Approach

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract Causal discovery tools enable scientists to infer meaningful relationships from observational data, spurring advances in fields as diverse as biology, economics, and climate science. Despite these successes, the application of causal discovery to space‐time systems remains immensely challenging due to the high‐dimensional nature of the data ...
J. Jake Nichol, Michael Weylandt, G. Matthew Fricke, Melanie E. Moses, Diana Bull, Laura P. Swiler   +5 more
wiley   +1 more source

Learning Physically Interpretable Atmospheric Models From Data With WSINDy

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract The multiscale and turbulent nature of Earth's atmosphere has historically rendered accurate weather modeling a hard problem. Recently, there has been an explosion of interest surrounding data‐driven approaches to weather modeling, which in many cases show improved forecasting accuracy and computational efficiency when compared to traditional ...
Seth Minor, Daniel A. Messenger, Vanja Dukic, David M. Bortz   +3 more
wiley   +1 more source

A novel method for approximate solution of two point non local fractional order coupled boundary value problems. [PDF]

PLoS One
Tadoummant L, Khalil H, Echarggaoui R, Aljohani S, Mlaiki N.   +4 more
europepmc   +1 more source

Hybrid physics‐informed neural network with parametric identification for modeling bridge temperature distribution

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 22, Page 3503-3524, 9 September 2025.
Abstract This paper introduces a novel hybrid multi‐model thermo‐temporal physics‐informed neural network (TT‐PINN) framework for thermal loading prediction in composite bridge decks. Unlike the existing PINN applications in heat transfer that focus on simple geometries, this framework uniquely addresses multi‐material domains and realistic boundary ...
Yanjia Wang, Dong Yang, Ye Yuan, Jing Zhang, Francis T. K. Au   +4 more
wiley   +1 more source

New modifications of ADM with applications in kind of PDEs. [PDF]

MethodsX
Nemah EM, Jaddoa AF, Ghazi FF.
europepmc   +1 more source

Attention‐Based Reconstruction of Full‐Field Tsunami Waves From Sparse Tsunameter Networks

Geophysical Research Letters, Volume 52, Issue 16, 28 August 2025.
Abstract We investigate the potential of an attention‐based neural network architecture, the Senseiver, for sparse sensing in tsunami forecasting. Specifically, we focus on the Tsunami Data Assimilation Method, which generates forecasts from tsunameter networks.
Edward McDugald, Arvind Mohan, Darren Engwirda, Agnese Marcato, Javier E. Santos   +4 more
wiley   +1 more source

Partial differential equations in data science. [PDF]

Philos Trans A Math Phys Eng Sci
Bertozzi AL, Drenska N, Latz J, Thorpe M.   +3 more
europepmc   +1 more source

Analytical solutions of the time-fractional symmetric regularized long wave equation using the [Formula: see text] model expansion method. [PDF]

Sci Rep
Aldwoah K, Eljaneid N, Younis B, Alsharafi M, Osman O, Muflh B.   +5 more
europepmc   +1 more source

Reliable numerical scheme for coupled nonlinear Schrödinger equation under the influence of the multiplicative time noise. [PDF]

Sci Rep
Baber MZ, Ahmed N, Yasin MW, Iqbal MS, Akgül A, Hassani MK, Jawaz M.   +6 more
europepmc   +1 more source

Novel solitons in the (2+1)-dimensional Heisenberg spin chain via generalized conformable derivatives. [PDF]

Sci Rep
Alam BE, Morales-Luna G, Fernandez-Anaya G.   +2 more
europepmc   +1 more source