Results 201 to 210 of about 1,541,248 (274)

Stochastic Conformal Integrators for Linearly Damped Stochastic Poisson Systems. [PDF]

J Sci Comput
Bréhier CE, Cohen D, Komori Y.
europepmc   +1 more source

Embodied, Enacted, and Multimodal: Exploring Science Teachers’ Metaphors in Authentic Classroom Contexts

Science Education, Volume 110, Issue 5, Page 1469-1496, September 2026.
ABSTRACT Over the past decades, science education research has extensively examined the role of metaphors in teaching and learning science. However, much of the existing research has focused on verbal manifestations of metaphors, thereby overlooking aspects of metaphors that may occur in non‐verbal form. This study reconceptualises metaphors as dynamic
Magdalena Kersting, Priscila Kohler, Marianne Ødegaard   +2 more
wiley   +1 more source

Training stiff neural ordinary differential equations with implicit single-step methods. [PDF]

Chaos
Fronk C, Petzold L.
europepmc   +1 more source

Computer Modeling of the Ferrite‐To‐Austenite Transformation in a Super‐Duplex Stainless Steel and the Important Role of Trans‐Interface Diffusion

steel research international, Volume 97, Issue 9, Page 4483-4493, September 2026.
An accurate moving boundary model for volume diffusion containing boundary conditions from trans‐interface diffusion (TID) simulates the austenite growth during cooling. TID of Cr, Mo, N and Ni enhance growth kinetics. Without TID, compositions of the interface region change, decreasing the driving force for growth and finally causing numerical ...
A. Salwén, T. Müller, S. Nouhi, J. Y. Jonsson   +3 more
wiley   +1 more source

Metadensity Functional Learning for Classical Fluids: Regularizing with Pair Correlations. [PDF]

J Phys Chem B
Kampa SM, Sammüller F, Schmidt M.
europepmc   +1 more source

Deep Learning for Protein Modeling: From Single Structure to Bound Complex and Thermodynamic Ensemble, With a Focus on Architectural Design

WIREs Computational Molecular Science, Volume 16, Issue 5, September/October 2026.
Protein deep learning is moving from single structure prediction toward bound complex modeling and conformational ensemble generation. An architectural perspective shows how symmetry, evolutionary information, generative sampling, and energetic grounding shape performance and generalization.
Daniele Angioletti, Matteo Carli, Marco Nobile, Vittorio Limongelli   +3 more
wiley   +1 more source

Milling Stability Prediction Considering Axial Geometric Contact Effects. [PDF]

Micromachines (Basel)
Zhang Y, Ren X, Yang J.
europepmc   +1 more source

A Model Intercomparison Study of Mixed‐Phase Clouds in a Laboratory Chamber

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.
Abstract Supercooled liquid water often persists in mixed‐phase clouds for hours to days, even though a simple, well‐mixed Wegener‐Bergeron‐Findeisen model predicts rapid depletion of liquid water in the presence of ice. The persistence is well documented, but the relative importance of the maintaining mechanisms remains uncertain.
Aaron Wang, Sisi Chen, Steven K. Krueger, Piotr Dziekan, Kotaro Enokido, Fabian Hoffmann, Agnieszka Makulska, Bernhard Mehlig, Gaetano Sardina, Grigory Sarnitsky, Silvio Schmalfuß, Shin‐ichiro Shima, Fan Yang, Mikhail Ovchinnikov, Raymond A. Shaw   +14 more
wiley   +1 more source

Convergence Guarantees for Time-Inhomogeneous Uniform-Rate Discrete Diffusion Models. [PDF]

Entropy (Basel)
Liang Y, Lai L, Shroff N, Liang Y.
europepmc   +1 more source

NORi: An ML‐Augmented Ocean Boundary Layer Parameterization

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.
Abstract NORi is a machine learning (ML) parameterization of ocean boundary layer (BL) turbulence that is physics‐based and augmented with neural networks. NORi stands for neural ordinary differential equations Richardson number (Ri) closure. The physical parameterization is controlled by a Richardson number‐dependent diffusivity and viscosity.
Xin Kai Lee, Ali Ramadhan, Andre Souza, Gregory LeClaire Wagner, Simone Silvestri, John Marshall, Raffaele Ferrari   +6 more
wiley   +1 more source