Results 241 to 250 of about 95,958 (319)

Response of Ocean Mesoscale Coherent Eddies to Global Warming

open access: yesGeophysical 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

Two-Dimensional Topology Optimized Nonlocal Metasurfaces for Augmented Reality. [PDF]

open access: yesNano Lett
Hsu CY   +6 more
europepmc   +1 more source

Simulations of a High Ozone Episode and Heatwave Day Using a Coupled Multi‐Layer Urban Canopy and Chemistry Model

open access: yesJournal 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

open access: yesAngewandte 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

Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net

open access: yesInternational 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
wiley   +1 more source

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