Results 141 to 150 of about 272,443 (187)
On optimality conditions for multiobjective optimization problems in topological vector space
Cristinca Fulga, Vasile Preda
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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
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Quantum Transport in SnTe Nanowire Devices
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
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Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks
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
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Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
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
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Machine Learning for Organic Fluorescent Materials
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
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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
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Weak compactness of vector measures on topological spaces
Surjit Singh Khurana
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AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
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
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Carathéodory–Fejér interpolation in locally convex topological vector spaces
Daniel Alpay, Olga Timoshenko, Dan Volok
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