Topological data analysis and topological deep learning beyond persistent homology: a review. [PDF]
Artif Intell RevSu Z +7 more
europepmc +1 more source
Quantifying Uncertainty in OMNI Solar Wind Measurements Projected From L1 to the Earth's Bow Shock
Journal of Geophysical Research: Space Physics, Volume 131, Issue 8, August 2026.Abstract Many routine measurements of the solar wind plasma and interplanetary magnetic field (IMF) are made at the L1 Sun–Earth Lagrange point; therefore, it is helpful to characterize the errors introduced in propagating these measurements to the near‐Earth environment.
N. C. Rogers, J. A. Wild, A. Grocott
wiley +1 more source
Toward Generative Machine Learning for Boosting Ensembles of Climate Simulations
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Accurately quantifying uncertainty in predictions and projections arising from irreducible internal climate variability is critical for decision‐making. Such uncertainty is typically assessed using ensembles produced with climate models. However, computational constraints impose a trade‐off between generating large ensembles required for ...
Parsa Gooya +2 more
wiley +1 more source
Heterogeneity-Driven Strengthening and Hardening in Heterostructured Materials: Modeling and Simulation Across Length Scales. [PDF]
Materials (Basel)Zhou C, Rohoman MM, Li N.
europepmc +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Mantle convection drives the solid Earth, powering plate motions, volcanism, and earthquakes while regulating planetary heat loss. Reconstructing its history is hampered by sparse, noisy observations concentrated near the surface and the present day. Here I develop an inverse physics‐informed neural network framework to estimate mantle thermal
Atsushi Nakao
wiley +1 more source
Computational models for predicting bone fracture healing: a review of modeling approaches, predictions, and emerging strategies. [PDF]
Biomech Model MechanobiolPires DG, Completo A, Santos MPSD.
europepmc +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract We demonstrate a data‐driven parameterization framework for snow albedo evolution using a constrained auto‐regressive neural differential equation that directly predicts snow albedo change from standard meteorological inputs. After training with multi‐year in situ and satellite observations from a wide variety of locations, the scheme ...
A. Charbonneau, K. Deck, T. Schneider
wiley +1 more source
Comparative Analysis of Open-Source Finite Element Method Solvers for Computational Fluid Dynamics Performance in a Carotid Artery Model. [PDF]
J Biomech EngThroop A +5 more
europepmc +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Precipitation nowcasting refers to the high‐resolution forecasting of rainfall and hydrometeors within 0–6 hr according to the official definition of the World Meteorological Organization, which has relied on numerical models for decades. Recently, artificial intelligence (AI) has shown promise in addressing precipitation nowcasting.
Nan Yang +3 more
wiley +1 more source
A digital twin approach for simultaneous reconstruction of brain anatomy and dynamics from neural data. [PDF]
PLOS Digit HealthFabbrizzi M +8 more
europepmc +1 more source