Results 141 to 150 of about 272,443 (187)

BiSbF2 Monolayer: A 2D Inversion‐Asymmetric Topological Insulator With Linearly Tunable Giant Spin‐Splitting and Bulk Gap

open access: yesAdvanced Electronic Materials, EarlyView.
The BiSbF2 monolayer is a 2D topological insulator with a large bandgap (252 meV) hosting topological edge states and giant valley‐contrasted spin‐splitting (478 meV). The sizable gap enables room‐temperature quantum spin Hall effects, while its coexisting topological and valleytronic features provide a versatile platform for exploring topological ...
Bin Geng   +4 more
wiley   +1 more source

Quantum Transport in SnTe Nanowire Devices

open access: yesAdvanced Electronic Materials, EarlyView.
A variety of quantum transport experiments are observed in SnTe nanowire devices and attributed to microscopic differences in the fabrication. Three categories can be distinguished: semiconducting behavior, partial superconductivity and Fabry‐Pérot oscillations.
Femke J. Witmans   +11 more
wiley   +1 more source

Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks

open access: yesAdvanced Electronic Materials, EarlyView.
Spintronic memtransistor neurons based on domain walls enable energy‐efficient, field‐gated, and current‐controlled LIF functionality for neuromorphic computing, as demonstrated. When integrated into spiking neural network architectures, these devices achieve >96% pattern recognition accuracy, demonstrating high performance, scalability, and mem ...
Aijaz H. Lone   +7 more
wiley   +1 more source

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

open access: yesAgribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Machine Learning for Organic Fluorescent Materials

open access: yesAggregate, EarlyView.
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong   +7 more
wiley   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

open access: yesAdvanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang   +5 more
wiley   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

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