Results 141 to 150 of about 7,303,173 (287)

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

open access: yesAdvanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar   +9 more
wiley   +1 more source

CUDA Quantum

open access: yes
<p>The 0.7.0 release adds support for using NVIDIA Quantum Cloud, giving you access to our most powerful GPU-accelerated simulators even if you don't have an NVIDIA GPU. With 0.7.0, we have furthermore greatly increased expressiveness of the Python
The CUDA Quantum development team
core   +2 more sources

Donor‐Engineered Chiral Indium–Salen Complexes for Tunable Circularly Polarized Luminescence

open access: yesAdvanced Functional Materials, EarlyView.
Chiral indium–salen complexes bearing electronically and structurally diverse donor substituents are presented as modular main‐group luminophores exhibiting tunable blue‐to‐green circularly polarized luminescence. Donor engineering systematically controls frontier‐orbital distribution, intraligand charge transfer, and excited‐state relaxation ...
Haein Kim   +14 more
wiley   +1 more source

Pressure‐Assisted Dimensional Transformation of 2D Hydrogenated Borophene into 0D Boron Quantum Dots

open access: yesAdvanced Functional Materials, EarlyView.
Hydrogenated borophene (HB) is transformed into distinct boron nanostructures through a solvent‐free thermal process. Under flowing nitrogen, hydrogen escape promotes reconstruction into B2O3 nanoplatelets, whereas hydrogen‐induced pressure under sealed conditions facilitates fragmentation into boron quantum dots.
Ozden Gunes Yildiz   +11 more
wiley   +1 more source

Nonseparability, Potentiality and the Context-Dependence of Quantum Objects [PDF]

open access: yes, 2007
Standard quantum mechanics undeniably violates the notion of separability that classical physics accustomed us to consider as valid. By relating the phenomenon of quantum nonseparability to the all-important concept of potentiality, we effectively ...
Karakostas, V.   +2 more
core  

Anisotropic Phonon Dynamics and Directional Transport in Actinide Van der Waals Semiconductor Uranium Triselenide

open access: yesAdvanced Functional Materials, EarlyView.
USe3 is introduced as an actinide van der Waals semiconductor that mirrors the quasi‐one‐dimensional physics of transition‐metal trichalcogenides. Polarization‐resolved Raman spectroscopy on exfoliated flakes maps strong in‐plane phonon anisotropy and strain‐tunable mode shifts.
Aljoscha Söll   +17 more
wiley   +1 more source

High‐Efficiency Deep Blue Single‐Gaussian Europium(II) Emitters and Their Emitter‐Host Interactions

open access: yesAdvanced Functional Materials, EarlyView.
Crown‐ether ligands and carborate anions enable vacuum‐processable Eu(II) emitters with efficient single‐Gaussian deep‐blue luminescence. Combined photophysical and computational analyses reveal that excited‐electron confinement and steric shielding of the europium center jointly govern compatibility with OLED host materials, establishing molecular ...
Mahmoud Soleimani   +8 more
wiley   +1 more source

A Quantum Degenerate Mixture of $^{87}$Rb and $^{133}$Cs [PDF]

open access: yes, 2011
This thesis reports the formation of a dual-species Bose-Einstein condensate of $^{87}$Rb and $^{133}$Cs in the same trapping potential. Quantum degenerate mixtures exhibit rich physics inaccessible to single species experiments and provide an ideal ...
MCCARRON, DANIEL,JOHN
core  

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

open access: yesAdvanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy