Results 111 to 120 of about 8,193,304 (254)

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

Que reste-t-il du Rapport Séguin? Analyse d'un sondage Crop - Chaire de recherche en fiscalité et en finances publiques [PDF]

open access: yes, 2005
Cette étude, réalisée par Luc Godbout, Jean-Herman Guay et Matthieu Arseneau, qui s'intitule «Que reste-t-il du Rapport Séguin?», poursuit les travaux de la Chaire à l'égard du déséquilibre fiscal.
Arseneau, Matthieu   +2 more
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

open access: yesAdvanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco   +8 more
wiley   +1 more source

Control of Polarization and Polar Helicity in BiFeO3 by Epitaxial Strain and Interfacial Chemistry

open access: yesAdvanced Functional Materials, EarlyView.
In BiFeO3 thin films, the interplay of interfacial chemistry, electrostatics, and epitaxial strain is engineered to stabilize homohelicity in polarization textures at the domain scale. The synergistic use of a Bi2O2‐terminated Aurivillius buffer layer and a highly anisotropic compressive epitaxial strain offers new routes to control the polar‐texture ...
Elzbieta Gradauskaite   +5 more
wiley   +1 more source

Enquête de terrain et travail de recherche à Cuba

open access: yesNuevo mundo - Mundos Nuevos, 2016
Vanessa Oliveira, Xavier Calmettes 
doaj   +1 more source

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

Tuning the Optoelectronic Properties of Wide Bandgap Perovskites: Data‐Driven Insights from Combinatorial Synthesis and High‐Throughput Experimentation

open access: yesAdvanced Functional Materials, EarlyView.
Combinatorial vapor deposition enables independent tuning of Cs/Pb and Br/Cl in wide‐bandgap perovskites. Automated multimodal mapping of 500+ compositions reveals a high‐energy optical transition that correlates with enhanced photoluminescence, defining a practical Cs/Pb window.
Alexander Wieczorek   +6 more
wiley   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

open access: yesAdvanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

open access: yesAdvanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli   +4 more
wiley   +1 more source

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