Results 121 to 130 of about 1,942,647 (283)

A grid computing framework for commercial simulation packages [PDF]

, 2007
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.An increased need for collaborative research among different organizations, together with continuing advances in communication technology and computer ...
Mustafee, Navonil
core   +3 more sources

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Infinite-Dimensional Reservoir Computing

Neural Networks
Reservoir computing approximation and generalization bounds are proved for a new concept class of input/output systems that extends the so-called generalized Barron functionals to a dynamic context. This new class is characterized by the readouts with a certain integral representation built on infinite-dimensional state-space systems.
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega   +2 more
openaire   +6 more sources

Sub‐1 ms Optoelectronic Synapse Based on {ZnCdO/ZnO} Multilayer Structure for High‐Speed Neuromorphic Vision Systems

Advanced Functional Materials, EarlyView.
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski, Eunika Zielony, Adrian Kaim, Ewa Przeździecka   +3 more
wiley   +1 more source

Band-pass reservoir computing

, 2008
Many applications of Reservoir Computing (and other signal processing techniques) have to deal with information processing of signals with multiple time-scales. Classical Reservoir Computing approaches can only cope with multiple frequencies to a limited
wyffels, Francis, Verstraeten, David, Dirk Stroobandt, Francis Wyffels, Stroobandt, Dirk, Schrauwen, Benjamin, David Verstraeten, Benjamin Schrauwen   +7 more
core   +1 more source

Hopping‐Mediated Zero‐Bias Photocharge Retention in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Liquid–liquid interface assembly enables the fabrication of solution‐processed MoS2 and WSe2 centimeter‐scale, nanometer‐thick type‐II heterostructures on paper. Interfacial charge separation and hopping‐limited recombination produce rectification and persistent photocharge retention at zero bias.
Aniello Pelella, Andrea Sessa, Yi‐Chen Tsai, Xuzhao Liu, Abdul Mannan, George Greaves, Yahya Saboon, Ben Spencer, Antonio Di Bartolomeo, Cinzia Casiraghi, Jessica Boland, Alessandro Grillo   +11 more
wiley   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion

Advanced Functional Materials, EarlyView.
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei, Pascal Bertsch, Juliette Lafosse, Sander C. G. Leeuwenburgh, Mani Diba   +4 more
wiley   +1 more source

Asymptotic Stability in Reservoir Computing [PDF]

Reservoir Computing is a class of Recurrent Neural Networks with internal weights fixed at random. Stability relates to the sensitivity of the network state to perturbations.
Rafayelyan, Mushegh, Unser, Michael, Dong, Jonathan, Boerve, Erik   +3 more
core   +1 more source

Stabilization of Strongly Reduced Fe(I) Single Atom Species Coordinated in a 2D Self‐Assembled Metal–Organic Network

Advanced Functional Materials, EarlyView.
A graphene‐supported 2D metal–organic network stabilizes highly reactive Fe(I)‐N4 single sites through Co‐induced charge redistribution. Combined experiments and theory reveal Fe(I) formation, oxygen‐driven oxidation, and O2 activation mechanisms, offering a strategy to access low‐valent iron centers relevant to catalytic and biological processes ...
Alessandro Namar, Basant Roondhe, Michela De Col, Stefania Baronio, Matteo Jugovac, Mattia Scardamaglia, Eleanor Frampton, Nikolay Vinogradov, Paolo Giannozzi, Erik Vesselli   +9 more
wiley   +1 more source