Results 71 to 80 of about 10,791,441 (372)
Stochastic ordering by g-expectations
We derive sufficient conditions for the convex and monotonic g-stochastic ordering of diffusion processes under nonlinear g-expectations and g-evaluations. Our approach relies on comparison results for forward-backward stochastic differential equations and on several extensions of convexity, monotonicity and continuous dependence properties for the ...
Ly, Sel, Privault, Nicolas
openaire +3 more sources
Fractional Skyrmion Tubes in Chiral‐Interfaced 3D Magnetic Nanowires
In chiral 3D helical magnetic nanowires, the coupling between the geometric and magnetic chirality provides a way to create topological spin states like vortex tubes. Here, it is demonstrated how the breaking of this coupling in interfaced 3D nanowires of opposite chirality leads to even more complex topological spin states, such as fractional ...
John Fullerton +11 more
wiley +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
The Supermodular Stochastic Ordering [PDF]
In many economic applications involving comparisons of multivariate distributions, supermodularity of an objective function is a natural property for capturing a preference for greater interdependence. One multivariate distribution dominates another according to the supermodular stochastic ordering if it yields a higher expectation than the other for ...
Meyer, M, Strulovici, B
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Light‐Controlled Reversible Coassembly of Hybrid Functional Nanostructures
Light‐responsive hybrid nanostructures are formed by coassembling azobenzene‐ and PAH‐functionalized nanoparticles through reversible an tunable π interactions. The system enables tunable coupling between distinct components such as gold and magnetite or carbon nanotubes, producing switchable optical and magnetic properties under light and magnetic ...
Michal Sawczyk +5 more
wiley +1 more source
Stochastic embedding DFT: Theory and application to p-nitroaniline in water. [PDF]
Over this past decade, we combined the idea of stochastic resolution of identity with a variety of electronic structure methods. In our stochastic Kohn-Sham density functional theory (DFT) method, the density is an average over multiple stochastic ...
Baer, Roi +4 more
core
Stochastic Order Methods Applied to Stochastic Travelling Waves
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tribe, Roger, Woodward, Nicholas
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Weak decreasing stochastic order [PDF]
15 ...
Antoine-Marie Bogso, Patrice Takam Soh
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Stochastic permutation ordering watershed [PDF]
The stochastic watershed is a morphological approach to segmentation that repeats the application of a seeded watershed from series of uniform random markers. The obtained watershed boundaries are combined to construct a probability density function. We propose an alternative approach called stochastic permutation ordering watershed.
openaire +2 more sources
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp +7 more
wiley +1 more source

