Results 171 to 180 of about 216,818 (306)

Uncertainty‐Aware Machine Learning for Onset of Deep Convection: Under what Conditions Are Trigger Predictions More Reliable?

Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Machine Learning (ML) models have emerged as a powerful tool for predicting deep convection triggering, yet the atmospheric conditions that systematically challenge these models in detecting deep convection remain poorly understood. To diagnose such ambiguous regimes, we trained a Controlled Abstention Neural Network (CAN) that separates high‐
Ashish Bhattarai, Youtong Zheng
wiley   +1 more source

The streamline–diffusion method for a convection–diffusion problem with a point source

, 2003
H. Roos, H. Zarin
semanticscholar   +1 more source

Mechanistic model of phase-transitioning therapeutics injected into poroelastic tissue for improved targeting of superficial tumors. [PDF]

Sci Rep
Adrianzen Alvarez DR, Orozco ESL, Ramanujam N, Mueller JL, Katz DF.   +4 more
europepmc   +1 more source

Reactive Mixing Fronts in Porous Media Under Transverse Velocity Gradients

Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Mixing‐limited reactions in porous media depend on concentration gradients at interfaces, yet their behavior in nonuniform co‐flow remains poorly understood. Here we develop a closed‐form theory for irreversible reactions A+B→P $A+B\to P$ in a co‐flow where a transverse velocity gradient makes transverse hydrodynamic dispersion vary linearly ...
Yubo Cheng, Kai Zhang, Zijing Li, Tetsuya Suekane, Chunwei Zhang   +4 more
wiley   +1 more source

CMOS-Based Gas Direction Sensors with a Surface-Integrated Pillar. [PDF]

Sensors (Basel)
Yodo Y, Freitas KLC, Asada Y, Noda T, Sawada K, Akiyama M.   +5 more
europepmc   +1 more source

Equivalent Subsurface Thermal Characteristics for Heterogeneous Surfaces

Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Land‐surface and atmospheric models often represent subgrid‐scale variability using a single set of effective properties. Estimating these equivalent properties is critical for predicting land‐atmosphere exchanges accurately, but challenging when materials with distinct radiative and thermal characteristics coexist, particularly in urban ...
Erfan Hosseini, Elie Bou‐Zeid
wiley   +1 more source

MHD Casson nanofluid flow over a vertical stretchable sheet saturated with a porous medium: a parametric approach for sensitive analysis. [PDF]

Discov Nano
Javid K, Akbar NS, Shaiq S, Khan A, Jamshed W, Hussain SM, Guedri K, Ahmad H, Abd-Elmonem A.   +8 more
europepmc   +1 more source

Thermo‐Mechanical Topology Optimization: An Immersed FEM Level‐Set‐Based Approach

International Journal for Numerical Methods in Engineering, Volume 127, Issue 15, 15 August 2026.
ABSTRACT This paper proposes a multi‐physics framework for topology optimization using an immersed level set‐finite element model. The work extends the capabilities of a recently developed immersed level‐set method to thermo‐mechanical problems, including coupling and material‐dependent properties.
Farzad Tatar, Silvia Monchetti, Elisabetta Manconi, Roberto Brighenti   +3 more
wiley   +1 more source

A Strongly Degenerate Convection-diffusion Problem Modeling Centrifugation of Flocculated Suspensions

, 2001
R. Bürger, K. Karlsen
semanticscholar   +1 more source

Artificial neural network analysis for oxytactic microbes in hybrid nanofluid with chemical reaction and thermal radiation. [PDF]

Discov Nano
Abbas M, Alam MM, Aoudia M, Benabdallah F, Akgül A, Hassani MK.   +5 more
europepmc   +1 more source