Results 221 to 230 of about 8,778,307 (358)

The Impact of System Softness on Haines Jumps and Drainage in Porous Media

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Haines jumps are abrupt movements of fluid interfaces accompanied by sudden changes in capillary pressure during multiphase flow in porous media. They are a fundamental pore‐scale mechanism influencing displacement patterns and efficiency. Haines jumps are controlled by the interplay of varying factors, including capillarity, pore geometry ...
Bowen Zhang   +3 more
wiley   +1 more source

Thresholds of Wave Forcing: Implications for Atoll Reef Dynamics Under Sea Level Rise

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 2, February 2026.
Abstract We investigate the response of shallow reef flow to tidal variability and wave exposure during a 4‐month field campaign in southern Huvadhu Atoll, Maldives. Incident waves breaking on steep fore reefs and reef crests generate a setup proportional to offshore wave height that drives a cross‐reef flow. We emphasize a critical threshold—where the
M. Lindhart   +3 more
wiley   +1 more source

Multicolor cathodoluminescence imaging of single lanthanide nanoparticles. [PDF]

open access: yesNat Commun
Abdul Rehman S   +9 more
europepmc   +1 more source

A complex network perspective on brain disease

open access: yesBiological Reviews, Volume 101, Issue 1, Page 364-399, February 2026.
ABSTRACT If brain anatomy and dynamics have a complex network structure as it has become standard to posit, it is reasonable to assume that such a structure should play a key role not only in brain function but also in brain dysfunction. However, exactly how network structure is implicated in brain damage and whether at least some pathologies can be ...
David Papo, Javier M. Buldú
wiley   +1 more source

AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry

open access: yesAngewandte Chemie, Volume 138, Issue 5, 28 January 2026.
AIMNet2‐NSE enables accurate modeling of open‐shell radical chemistry through neural spin‐charge equilibration (NSE). This machine learning interatomic potential predicts radical reaction energies, barriers, and spin‐crossing events with near‐DFT accuracy while offering five orders of magnitude computational speedup, making high‐throughput exploration ...
Bhupalee Kalita   +7 more
wiley   +2 more sources

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