Results 81 to 90 of about 1,982,675 (253)

Experimental sensing quantum atmosphere of a single spin

open access: yes
Understanding symmetry-breaking states of materials is a major challenge in the modern physical sciences. Quantum atmosphere proposed recently sheds light on the hidden world of these symmetry broken patterns.
Yang, Zhiping   +9 more
core   +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

Sensitivity of quantum magnetic sensing

open access: yesNational Science Review
Magnetometer, quantum or classical? Unveil the fundamental limit of magnetic field sensing.
Liwei Lei, Teng Wu, Hong Guo
openaire   +2 more sources

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

Sensing with quantum light: a perspective

open access: yesNanophotonics
Abstract I present my perspective on sensing with quantum light. I summarise the motivations and methodology for identifying quantum enhancements in sensing over a classical sensor. In the real world, this enhancement will be a constant factor and not increase with the size of the quantum probe as is often advertised.
openaire   +4 more sources

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

Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors

open access: yesAdvanced Functional Materials, EarlyView.
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang   +7 more
wiley   +1 more source

An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing

open access: yesAdvanced Functional Materials, EarlyView.
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek   +12 more
wiley   +1 more source

Laser threshold magnetometry with a combined laser diode, nitrogen-vacancy center cavity

open access: yes
Nitrogen-vacancy centers (NV) in diamond are promising quantum systems for magnetic field sensing. The sensitivity and the linearity of such a quantum sensor can be greatly improved by using stimulated emission of the NV centers in the concept of laser ...
Jeske, Jan   +19 more
core   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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