Results 161 to 170 of about 41,517 (308)
The weak rate of convergence for the Euler-Maruyama approximation of\n one-dimensional stochastic differential equations involving the local times\n of the unknown process [PDF]
Mohsine Benabdallah, Kamal Hiderah
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This study demonstrates an aluminum‐based hybrid photoresist synthesized via molecular layer deposition (MLD) using trimethylaluminum and hydroquinone. The resist achieves sub‐20 nm resolution and virtually infinite silicon etch selectivity, enabling 40 nm‐wide, micrometer‐tall nanostructures.
Won‐Il Lee +8 more
wiley +1 more source
Asymptotic expansions as control variates for deep solvers to fully-coupled forward-backward stochastic differential equations. [PDF]
Naito M +3 more
europepmc +1 more source
Metalens Array for Complex‐Valued Optical Discrete Fourier Transform
A single‐layer metalens‐array device performs complex‐to‐complex discrete Fourier transforms (DFTs) optically with O(N) digital time complexity. Integrated interferometric phase retrieval and error mitigation scheme enables accurate, compact, and low‐power optical computing. The approach provides a versatile framework for implementing arbitrary complex‐
Randy Stefan Tanuwijaya +6 more
wiley +1 more source
Convergence of Relative Entropy for Euler-Maruyama Scheme to Stochastic Differential Equations with Additive Noise. [PDF]
Yu Y.
europepmc +1 more source
A graphene‐based bowtie plasmonic nanotweezer is designed and optimized using particle swarm optimization and transfer matrix analysis. The structure achieves strong field confinement, delivering trapping forces up to 6 nN W−1 for 10 nm bioparticles with sixfold lower power requirements than conventional designs.
Saba Ebrahimpanah +2 more
wiley +1 more source
Modeling single cell trajectory using forward-backward stochastic differential equations. [PDF]
Zhang K, Zhu J, Kong D, Zhang Z.
europepmc +1 more source
Deterministic versus Stochastic Inventory Modeling: A Brownian Motion–Based Stochastic Differential Equation Approach [PDF]
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