Results 151 to 160 of about 1,838,692 (271)
Multitarget error estimation and adaptivity in aerodynamic flow simulations [PDF]
, 2008 Important quantities in aerodynamic flow simulations are the aerodynamic force coefficients including the pressure induced and the viscous stress induced drag, lift and moment coefficients.
Hartmann, Ralf
core
The Boolean spectrum of a Grothendieck category
Journal of the London Mathematical Society, Volume 114, Issue 4, October 2026.Abstract A notion of support for objects in any Grothendieck category is introduced. This is based on the spectral category of a Grothendieck category and uses its Boolean lattice of localising subcategories. The support provides a classification of all subcategories that are closed under arbitrary coproducts, subobjects, and essential extensions ...
Henning Krause
wiley +1 more source
Surrogate Scattering Matrix‐Guided Inverse Design of Nanophotonic Neural Networks
Nanophotonics, Volume 15, Issue 18, 25 September 2026.Surrogate‐guided inverse design separates task learning from electromagnetic realization by transferring a trained passive operator to a fabrication‐aware nanophotonic structure. The electromagnetic cost of each update depends on port count rather than the dataset size.
Azka Maula Iskandar Muda, Uğur Teğin
wiley +1 more source
A Stochastic Approach for Recovery Times of Coastal Dune Vegetation
Geophysical Research Letters, Volume 53, Issue 17, 16 September 2026.Abstract The resilience of coastal dunes to environmental stress largely depends on vegetation recovery, which promotes sediment trapping and sand stabilization. However, post‐disturbance recovery dynamics remain difficult to quantify due to the complex interplay between biotic and abiotic processes.
D. Demichele, C. Camporeale
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 17, 16 September 2026.Abstract The Pamir, located at the northwestern margin of the Tibetan Plateau, is undergoing E–W extension within its interior, accommodated by micro‐block motions along major fault systems; however, the mechanisms governing this modern block kinematics remain elusive.
Bingfeng Zhang +3 more
wiley +1 more source
Nanophotonics, Volume 15, Issue 17, 11 September 2026.Inverse‐designed nanophotonic structures on a foundry‐compatible silicon nitride chip enable efficient in‐plane green excitation and broadband red emission extraction from diamond nitrogen‐vacancy centers. A compact emitter triples the guided optical power, while a directional coupler routes ∼80% of the fluorescence to detection, advancing miniaturized
Yuqing Zhou +5 more
wiley +1 more source
Advanced Materials, Volume 38, Issue 51, 11 September 2026.Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
Advanced Science, Volume 13, Issue 52, 18 September 2026.A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
A multimodal adjoint-state formulation of Quantitative Photoacoustic Tomography with external acoustic sources. [PDF]
PhotoacousticsSegerlund M, Löfqvist T.
europepmc +1 more source
Quantum‐Like Dynamics in Whole‐Brain Models of the Human Connectome
Advanced Science, Volume 13, Issue 51, 14 September 2026.Quantum‐like dynamics in the human brain. The level of quantum‐like behavior in a non‐quantum system of coupled oscillators is regulated by the spectral gap of the coupling graph. Whole‐brain modelling using QL fits the empirical data significantly better and has a lower model‐derived energy cost than the non‐QL model.
Gustavo Deco +5 more
wiley +1 more source