Results 91 to 100 of about 63,354 (312)
Sub-fractional Brownian motion and its relation to occupation times [PDF]
We study a long-range dependence Gaussian process which we call “sub-fractional Brownian motion” (sub-fBm), because it is intermediate between Brownian motion (Bm) and fractional Brownian motion (fBm) in the sense that it has properties analogous to ...
Luis G. Gorostiza +2 more
core
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Advanced Science, EarlyView.Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
Brownian confidence bands on Monte Carlo output [PDF]
, 2005 When considering a Monte Carlo estimation procedure, the path produced by successive partial estimates is often used as a guide for informal convergence diagnostics. However the confidence region associated with that path cannot be derived simplistically
Marin, Jean-Michel +2 more
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Individual Particle Motion in Colloids: Microviscosity, Microdiffusivity, and Normal Stresses [PDF]
, 2011 Colloidal dispersions play an important role in nearly every aspect of life, from paint to biofuels to nano-therapeutics. In the study of these so-called complex fluids, a connection is sought between macroscopic material properties and the micromechanics
Zia, Roseanna Nellie
core +1 more source
Adhesion‐Driven Removal of Microplastics From Aquatic Systems by Using Microgel Glues
Advanced Science, EarlyView.Soft polymeric microgels function as “glues” that aggregate diverse microplastics through multivalent adhesion, promoting their interfacial deposition and co‐precipitation for efficient removal from water. Remarkably, this approach remains effective even for nanoscale plastic particles as small as 50 nm.
Jinmeng Zhang +5 more
wiley +1 more source
Karhunen-Loève Expansion for the Second Order Detrended Brownian Motion
Abstract and Applied Analysis, 2014 Based on the norm in the Hilbert Space L2[0,1], the second order detrended Brownian motion is defined as the orthogonal component of projection of the standard Brownian motion into the space spanned by nonlinear function subspace.
Yongchun Zhou +3 more
doaj +1 more source
Advanced Science, EarlyView.SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang +8 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Brownian Motion on a Submanifold [PDF]
Communications in Analysis and Geometry, 2004 Consider an \(n\)-dimensional complete Riemannian manifold \(N\), and a closed \(m\)-dimensional submanifold \(M\). Using that the Laplacian on \(N\) is got by projection of the horizontal Laplacian on \(O(N): (\Delta^N\varphi)\circ\pi= \sum^n_{i=1} (H^N_i)^2(\varphi\circ\pi)\), one obtains classically the Brownian motion on \(N\) as \(\pi(p^N_t ...
openaire +1 more source