Results 101 to 110 of about 37,546 (263)

Stochastic integrals and their expectations [PDF]

, 2005
This article explains how the Itovsn3 package can be extended to add various properties and rules for ItoIntegral, which represents a stochastic or Itô integral.
Kendall, W. S.
core  

Stochastic Geometry and Wireless Networks, Volume II - Applications

, 2009
Stochastic Geometry and Wireless Networks, Volume I - Theory; see http://hal.inria.fr/inria-00403039This monograph surveys recent results on the use of stochastic geometry for the performance analysis of large wireless networks.
Baccelli, François, Blaszczyszyn, Bartlomiej   +1 more
core   +1 more source

A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials

Advanced Materials Interfaces, EarlyView.
Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav, Shakti S. Gupta, Roger A. Sauer   +2 more
wiley   +1 more source

Femtosecond‐Laser Mould Texturing Enables Tunable Biointerfaces in COC Microfluidics

Advanced Materials Interfaces, EarlyView.
Femtosecond‐laser texturing of injection‐mould inserts enables scalable engineering of biointerfaces in cyclic olefin copolymer microfluidics. Replicated micro‐ and nano‐topographies modulate surface roughness and wettability, leading to texture‐dependent protein adsorption and cell adhesion without chemical post‐processing.
Irene Varela‐Leniz, Nora Larreategi, Laura Gemini, Taieb Bakouche, Florent Husson, Leire Gartzia‐Rivero, Eider Bilbao Castellanos, Ane Miren Zaldua, José Luis Vilas‐Vilela, Leire Etxeberria   +9 more
wiley   +1 more source

Poisson point process convergence and extreme values in stochastic geometry

, 2016
Let η t be a Poisson point process with intensity measure tμ , t>0 , over a Borel space X , where μ is a fixed measure. Another point process ξ t on the real line is constructed by applying a symmetric function f to every k -tuple of distinct ...
Matthias Schulte, Christoph Thäle, Schulte, Matthias, Thäle, Christoph   +3 more
core   +1 more source

A 3D‐Printed Blister Test Platform for Quantifying Biointerface Adhesion Mechanisms

Advanced Materials Interfaces, EarlyView.
A 3D‐printed blister platform enables energy‐resolved characterization of soft hydrogel–rigid interfaces. Integrating precision pressure control with hyperelastic modeling directly quantifies adhesion energy (G) and R‐curve toughening. Results reveal that modulating hydrogel concentration and surface roughness drives a tunable transition from cohesive ...
Yoontae Kim, Rahul Patil, Argyris K. Lazaris, Xinran Zhang, Stella Alimperti   +4 more
wiley   +1 more source

Evaluation Methodology for 6G Sensing-Assisted Communication System Performance

IEEE Access
Nowadays, Integrated Sensing and Communication (ISAC) is receiving significant attention in the frame of the Sixth Generation (6G). To assess the performance of future candidate ISAC technologies and to be able to compare them with each other, the ...
Andrea Ramos, Arturo Mrozowski, Danaisy Prado-Alvarez, Jose F. Monserrat, Yunhao Zhang, Ziming Yu, Yan Chen   +6 more
doaj   +1 more source

Martingales on manifolds and geometric Ito calculus [PDF]

This work studies properties of stochastic processes taking values in a differential manifold M with a linear connection Γ, or in a Riemannian manifold with a metric connection.
Darling, R. W. R.
core  

Mini-Workshop: Hyperbolic meets Stochastic Geometry

The mini-workshop brought together researchers from hyperbolic geometry and stochastic geometry with the aim of advancing the emerging field of hyperbolic stochastic geometry.

core   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source