Results 131 to 140 of about 137,728 (296)
Two‐Dimensional Triferroics: From Fundamental Couplings to Multifunctional Applications
Advanced Science, EarlyView.This graphic summarizes the three main types of currently reported 2D triferroic couplings. From the structural perspective, existing systems can be broadly classified into two categories, which exhibit distinct symmetry features and coupling behaviors. Beyond the lattice difference, a third type involves the interplay among ferroelectricity, magnetism,
Yang Li, Jialin Gong, Zhiqing Li
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Diverse Landscape of Tunable Magnetic, Topological, and Ferroelectric States in 2D Ti3Se3Te2
Advanced Science, EarlyView.Ti3Se3Te2 emerges as a multifunctional 2D van der Waals platform. The monolayer is a dynamically stable ferromagnetic quantum anomalous Hall insulator. In bilayers, two stacking configurations yield distinct phases: AA‐stacking hosts an altermagnetic quantum spin Hall insulator, while AA′‐stacking exhibits three‐state in‐plane ferroelectricity ...
Jiangtao Yu +5 more
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BAND STRUCTURE OF RUTHENATE SUPERCONDUCTORS
TASK Quarterly, 2011 We investigate the band structure of ruthenates using the first-principles method of density functional theory (DFT). We calculated the band structure and density of states at the Fermi level for superconductors Ba2YRuO6 and Sr2YRuO6.
JOHN D. DOW, ARKADIY A. ZOLOTOVSKY
doaj
Advanced Science, EarlyView.Transition‐metal phthalocyanine (TMPc) molecules serve as model systems for probing the spin interactions. This review summarizes recent scanning tunnelling microscopy advances on the spin‐related phenomena in TMPc adsorbates, including Kondo effect, spin excitations, and Yu–Shiba–Rusinov states, emphasizing the mechanisms and control strategies, and ...
Fudi Zhou +6 more
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Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
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Machine Learning: Science and TechnologyIndex-value, or so-called n- value prediction is of paramount importance for understanding the superconductors’ behaviour specially when modeling of superconductors is needed.
Shahin Alipour Bonab +3 more
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Buried Unstrained Germanium Channels: A Lattice‐Matched Platform for Quantum Technology
Advanced Science, EarlyView.ABSTRACT Strained germanium (ε$\varepsilon$‐Ge) and strained silicon (ε$\varepsilon$‐Si) buried quantum wells have enabled advanced spin‐qubit quantum processors. However, in the absence of suitable lattice‐matched substrates, ε$\varepsilon$‐Ge and ε$\varepsilon$‐Si are deposited on defective, metamorphic SiGe buffers, which may impact device ...
Davide Costa +10 more
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Quantifying Strain and Its Effect on Charge Transport in Ge/Si Core/Shell Nanowires
Advanced Science, EarlyView.This work demonstrates strain engineering in Ge/Si core–shell nanowires (CS NWs) by tuning the Ge core‐Si shell dimensions. Polarization‐resolved µ‐Raman and geometrical phase analysis quantify the resulting strain. Electronic transport measurements demonstrate record hole mobilities up to 25 400 cm2/Vs, highlighting these Ge/Si CS NWs as a promising ...
Aswathi K. Sivan +14 more
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Advanced Science, EarlyView.A piezocatalytic strategy enables simultaneous wastewater purification and hydrogen generation by harnessing mechanical energy. Complementary piezo‐induced charges are selectively directed toward oxidation and reduction pathways, achieving efficient pollutant degradation and continuous H2 evolution.
Yiqing Wei +8 more
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