How Volume Increases the Mobility of Geophysical Granular Flow: A Unified Rheological Perspective
Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.Abstract Geophysical granular flows, involving rapidly flowing granular materials, can exhibit volume‐enhanced mobility. Lacking a mechanistic understanding of such size effects limits the applications of lab‐scale findings to natural events. Using discrete element method simulations, we find that increasing granular system size suppresses energy ...
Ming Peng +5 more
wiley +1 more source
Effect of initial stress on electro-magneto-thermoelastic semiconductor materials exposed to a pulsed lasers due to the interaction between electrons and holes. [PDF]
Sci RepAlarfaj KK.
europepmc +1 more source
Response of Ocean Mesoscale Coherent Eddies to Global Warming
Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.Abstract Mesoscale vertically coherent ocean eddies—defined here as eddies maintaining rotational coherence across depth—play a fundamental role in Earth's climate system by redistributing heat, salt, and other tracers. Yet it remains unclear how these eddies will respond to global warming.
Zhibin Yang, Zhao Jing, Xiaoming Zhai
wiley +1 more source
Analysis of delay differential equations with dual caputo-type fractional derivatives using laplace transform methods. [PDF]
Sci RepBoumaaza M +4 more
europepmc +1 more source
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.Abstract Coastal cities face critical challenges in managing ozone pollution because of high population density and complex interactions between urbanization and coastal meteorology. Using New York City (NYC) as a case study, this work examines how urban surfaces influence heatwaves, sea‐breeze circulations, and boundary‐layer dynamics, and how these ...
H. Gamarro +7 more
wiley +1 more source
Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
Angewandte Chemie, Volume 138, Issue 16, 13 April 2026.AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang +7 more
wiley +2 more sources
Dynamic Optical Lattices Through Conducting Polymer-Gated Confinement. [PDF]
Adv MaterLin D, Duan Y, Kazi S, Jonsson MP.
europepmc +1 more source
Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net
International Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
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Fractional heat conduction with variable thermal conductivity in rotating hydro-semiconductors. [PDF]
Sci RepElshazly IS +6 more
europepmc +1 more source
International Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.ABSTRACT In this article, we propose a novel numerical framework for the non‐isothermal Cahn–Hilliard–Navier–Stokes two‐phase flow system, which couples the incompressible Navier–Stokes equations, the Cahn–Hilliard phase‐field equation, and the heat transport equation to capture temperature‐dependent two‐phase flow dynamics.
Guang‐An Zou +4 more
wiley +1 more source