Results 81 to 90 of about 290,651 (321)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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
This paper is devoted to the construction of differential geometric invariants for the classification of "Quaternionic" vector bundles. Provided that the base space is a smooth manifold of dimension two or three endowed with an involution that leaves ...
De Nittis, Giuseppe, Gomi, Kiyonori
core
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To +5 more
wiley +1 more source
Nonsmooth analysis and optimization on partially ordered vector spaces
Interval-Lipschitz mappings between topological vector spaces are defined and compared with other Lipschitz-type operators. A theory of generalized gradients is presented when both spaces are locally convex and the range space is an order complete vector
Thomas W. Reiland
doaj +1 more source
Realization of Complex‐Shaped Magnetic Nanotubes with 3D Printing and Electrodeposition
Complex‐shaped magnetic nanotubes were fabricated by coating three‐dimensional nanoscaffolds fabricated with focused electron beam induced deposition with a magnetic coating via electrodeposition. X‐ray magnetic microscopy and simulations revealed an azimuthal magnetic configuration within the nanotubes and pinning of domain walls at curved vertices ...
Claudia Fernández‐González +15 more
wiley +1 more source
A tiling of a topological space X is a covering of X by sets (called tiles) which are the closures of their pairwise-disjoint interiors. Tilings of ℝ2 have received considerable attention (see [2] for a wealth of interesting examples and results as well ...
F. G. Arenas
doaj +1 more source
Volume and topological invariants of quantum many-body systems
Quantum many-body systems described by Lagrangian path integrals can realize many different topological phases of matter. One of the most important problems in condensed-matter physics is to extract topological invariants from the Lagrangian and to ...
Xiao-Gang Wen, Zhenghan Wang
doaj +1 more source
Two‐Dimensional Materials as a Multiproperty Sensing Platform
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana +11 more
wiley +1 more source
Charge‐Induced Morphing Gels for Bioinspired Actuation
This study introduces a novel electroactive actuation mechanism that enables the gel material to generate substantial and reversible shape‐changing while preserving topological and isochoric (volumetric) equivalence. The resultant morphing behaviors can mimic the movements of muscle‐driven organelles in nature, including cilia‐like beating and ...
Ciqun Xu +4 more
wiley +1 more source
Motion planning algorithms, topological properties and affine approximation
The topological study of the so-called "motion planning algorithms" emerged in the 2003-2004 with the works of M. Farber. We focus here on the topological study of the set of these algorithms, when the configuration space is a normed vector space.
Younes Derfoufi, My Ismail Mamouni
doaj

