Results 41 to 50 of about 128,252 (247)

From rough path estimates to multilevel Monte Carlo

open access: yes, 2016
New classes of stochastic differential equations can now be studied using rough path theory (e.g. Lyons et al. [LCL07] or Friz--Hairer [FH14]). In this paper we investigate, from a numerical analysis point of view, stochastic differential equations ...
Bayer, Christian   +3 more
core   +1 more source

The PML for rough surface scattering [PDF]

open access: yes, 2008
In this paper we investigate the use of the perfectly matched layer (PML) to truncate a time harmonic rough surface scattering problem in the direction away from the scatterer.
Abramowitz   +23 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Bayesian Numerical Homogenization [PDF]

open access: yes, 2014
Numerical homogenization, i.e. the finite-dimensional approximation of solution spaces of PDEs with arbitrary rough coefficients, requires the identification of accurate basis elements.
Owhadi, Houman
core   +3 more sources

Zwitterionic Self‐Assembled Monolayer for Simultaneous Noise Suppression and Hole Extraction in High‐Performance Near‐Infrared Organic Photodetectors

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a new hole transporting material (HTM) mechanism for self‐assembled monolayers in near‐infrared organic photodetectors. The formation of zwitterions induces a strong electric field that significantly increases the work function of HTM‐coated indium tin oxide substrates. The devices exhibit low dark current and noise, along with high
Jiyoung Shin   +9 more
wiley   +1 more source

Rough I-statistical convergence of sequences

open access: yes, 2016
21 ...
Malik, Prasanta   +2 more
openaire   +2 more sources

Spatially-adaptive sensing in nonparametric regression

open access: yes, 2013
While adaptive sensing has provided improved rates of convergence in sparse regression and classification, results in nonparametric regression have so far been restricted to quite specific classes of functions.
Bull, Adam D.
core   +1 more source

Rough path recursions and diffusion approximations [PDF]

open access: yes, 2016
In this article, we consider diffusion approximations for a general class of stochastic recursions. Such recursions arise as models for population growth, genetics, financial securities, multiplicative time series, numerical schemes and MCMC algorithms ...
Kelly, David
core   +3 more sources

Copper‐Based Crystalline‐Metallic Glass Composite Thin Films: A Novel Material with Enhanced Strength and Thermally Stable Nanotwins

open access: yesAdvanced Functional Materials, EarlyView.
A Cu‐based crystal‐glass composite with high‐density twins is identified by a fast screening technique using combinatorial sputtering together with XRD and nanoindentation mapping. This bamboo‐like structure demonstrates homogenous plastic flow and retains high strength during in situ high temperature tests, up to 1 GPa at 550°C, owing to those ...
Chunhua Tian   +10 more
wiley   +1 more source

Wijsman Rough Lacunary Statistical Convergence on I Cesaro Triple Sequences

open access: yesInternational Journal of Analysis and Applications, 2018
In this paper, we defined concept of Wijsman I-Cesàro summability for sequences of sets and investigate the relationships between the concepts of Wijsman strongly I-Cesàro summability and Wijsman statistical I− Cesàro summability by using the concept of ...
N. Subramanian, A. Esi
doaj   +2 more sources

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