Results 91 to 100 of about 352,182 (258)

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

open access: yesAdvanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee   +16 more
wiley   +1 more source

C^k invariant manifolds for infinite delay

open access: yesElectronic Journal of Differential Equations, 2019
For a non-autonomous delay difference equation with infinite delay, we construct smooth stable and unstable invariant manifolds for any sufficiently small perturbation of an exponential dichotomy.
Luis Barreira, Claudia Valls
doaj  

Normal Anti-Invariant Submanifolds of Paraquaternionic Kähler Manifolds [PDF]

open access: yesSurveys in Mathematics and its Applications, 2006
We introduce normal anti-invariant submanifolds of paraquaternionic Kähler manifolds and study the geometric structures induced on them. We obtain necessary and sufficient conditions for the integrability of the distributions defined on a normal anti ...
Novac-Claudiu Chiriac
doaj  

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

Augmentation invariant manifold learning

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology
Abstract Data augmentation is a widely used technique and an essential ingredient in the recent advance in self-supervised representation learning. By preserving the similarity between augmented data, the resulting data representation can improve various downstream analyses and achieve state-of-the-art performance in many applications.
openaire   +3 more sources

Center Manifolds for Invariant Sets

open access: yesJournal of Differential Equations, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chow, S.-N., Liu, W., Yi, Y.
openaire   +1 more source

From Photoalignment to Structured Light: Liquid Crystal Platforms for Beam Shaping and Complex Wavefronts

open access: yesAdvanced Functional Materials, EarlyView.
Photoaligned and photopatterned liquid crystal platforms provide programmable control of optical phase, polarization, and spin‐orbit interactions, enabling compact generation of structured light and complex wavefronts. This review highlights how tailored molecular orientations transform simple beams into designed optical fields, opening versatile ...
Le Zhou   +6 more
wiley   +1 more source

Families of (1,2)-symplectic metrics on full flag manifolds

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2002
We obtain new families of (1,2)-symplectic invariant metrics on the full complex flag manifolds F(n). For n≥5, we characterize n−3 different n-dimensional families of (1,2)-symplectic invariant metrics on F(n).
Marlio Paredes
doaj   +1 more source

Invariant Manifolds in Parametric turbulent Models

open access: yesRevista de Matemática: Teoría y Aplicaciones, 2011
The article is devoted to examining the so-called local-equilibrium approximations used while modeling turbulent flows. The dynamics of a far plane turbulent wake are investigated as an example.
Vladimir N Grebenev, G. G. Chernykh
doaj   +1 more source

Invariant manifolds [PDF]

open access: yesBulletin of the American Mathematical Society, 1970
Hirsch, MW, Pugh, CC, Shub, M
openaire   +6 more sources

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