Publications by authors named "Peixin Qin"

Architectures based on a magnetic domain wall (DW) can store and process information at a high speed in a nonvolatile manner with ultra-low power consumption. Recently, transition-metal rare earth metal alloy-based ferrimagnets have attracted a considerable amount of attention for the ultrafast current-driven DW motion. However, the high-speed DW motion is subject to film inhomogeneity and device edge defects, causing challenges in controlling the DW motion and hindering practical application.

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The electrical outputs of single-layer antiferromagnetic memory devices relying on the anisotropic magnetoresistance effect are typically rather small at room temperature. Here we report a new type of antiferromagnetic memory based on the spin phase change in a Mn-Ir binary intermetallic thin film at a composition within the phase boundary between its collinear and noncollinear phases. Via a small piezoelectric strain, the spin structure of this composition-boundary metal is reversibly interconverted, leading to a large nonvolatile room-temperature resistance modulation that is two orders of magnitude greater than the anisotropic magnetoresistance effect for a metal, mimicking the well-established phase change memory from a quantum spin degree of freedom.

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Antiferromagnets constitute promising contender materials for next-generation spintronic devices with superior stability, scalability, and dynamics. Nevertheless, the perception of well-established ferromagnetic spintronics underpinned by spontaneous magnetization seemed to indicate the inadequacy of antiferromagnets for spintronics-their compensated magnetization has been perceived to result in uncontrollable antiferromagnetic order and subtle magnetoelectronic responses. However, remarkable advancements have been achieved in antiferromagnetic spintronics in recent years, with consecutive unanticipated discoveries substantiating the feasibility of antiferromagnet-centered spintronic devices.

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CuS likely plays an important role in the sharp resistivity transition of LK-99. Nevertheless, this immediately arouses an intriguing question of whether the extraordinary room-temperature colossal magnetoresistance in the initial reports, which has been less focused, originates from CuS as well. To resolve this issue, we have systematically investigated the electrical transport and magnetotransport properties of near-stoichiometric CuS pellets and thin films.

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Background: Microvascular invasion (MVI) is an independent risk factor for postoperative recurrence of hepatocellular carcinoma (HCC). However, MVI cannot be detected by conventional imaging. To localize MVI precisely on magnetic resonance (MR) images, we evaluated the feasibility and accuracy of 3-dimensional (3D) histology-MR image fusion of the liver.

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Purpose: This study compares the results of Artificial Intelligence (AI) diagnosis of rib fractures using initial CT and follow-up CT as the final diagnostic criteria, and studies AI-assisted diagnosis in improving the detection rate of rib fractures.

Methods: A retrospective study was conducted on 113 patients who underwent initial and follow-up CT scans due to trauma. The initial and follow-up CT were used as diagnostic criteria, respectively.

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The carotid web is commonly found in the carotid bulb or the beginning of the internal carotid artery. It presents as a thin layer of proliferative intimal tissue originating from the arterial wall and extending into the vessel lumen. A large body of research has proven that the carotid web is a risk factor for ischemic stroke.

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Since the large room-temperature anomalous Hall effect was discovered in noncollinear antiferromagnets, MnSn has received immense research interest as it exhibits abundant exotic physical properties including Weyl points and enormous potential for antiferromagnetic spintronic device applications. In this work, we report the emergence of the topological Hall effect in MnSn films grown on Si that is the workhorse for the modern highly integrated information technology. Importantly, through a series of systematic comparative experiments, the intriguing topological Hall effect phenomenon related to the appearance of the noncoplanar chiral spin structure is found to be induced by the MnSn/SiO interface.

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Antiferromagnetic spintronics is a rapidly growing field in condensed-matter physics and information technology with potential applications for high-density and ultrafast information devices. However, the practical application of these devices has been largely limited by small electrical outputs at room temperature. Here we describe a room-temperature exchange-bias effect between a collinear antiferromagnet, MnPt, and a non-collinear antiferromagnet, MnPt, which together are similar to a ferromagnet-antiferromagnet exchange-bias system.

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The discovery of the anomalous Hall effect in noncollinear antiferromagnetic metals represents one of the most important breakthroughs for the emergent antiferromagnetic spintronics. The tuning of chemical potential has been an important theoretical approach to varying the anomalous Hall conductivity, but the direct experimental demonstration has been challenging owing to the large carrier density of metals. In this work, an ultrathin noncollinear antiferromagnetic Mn Ge film is fabricated and its carrier density is modulated by ionic liquid gating.

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Due to the lack of any magnetic order down to 1.7 K in the parent bulk compound NdNiO , the recently discovered 9-15 K superconductivity in the infinite-layer Nd Sr NiO thin films has provided an exciting playground for unearthing new superconductivity mechanisms. Herein, the successful synthesis of a series of superconducting Nd Sr NiO thin films ranging from 8 to 40 nm is reported.

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Background: Artificial intelligence (AI) products have been widely used for the clinical detection of primary lung tumors. However, their performance and accuracy in risk prediction for metastases or benign lesions remain underexplored. This study evaluated the accuracy of an AI-driven commercial computer-aided detection (CAD) product (InferRead CT Lung Research, ICLR) in malignancy risk prediction using a real-world database.

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Article Synopsis
  • - The study aimed to determine if early quantitative CT scans can predict the severity of COVID-19 pneumonia in patients.
  • - Researchers analyzed CT scans from COVID-19 patients using an AI algorithm to measure pneumonia in the lungs, finding significant differences in lung involvement between severe and non-severe cases.
  • - Results indicated that CT scans could reliably predict severe symptoms starting five days after the onset of illness, particularly when patients showed a lung involvement above a specific threshold.
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  • Myocardial injury was detected in a significant number of recovered COVID-19 patients, even those without initial cardiovascular symptoms, suggesting lasting heart damage post-recovery.
  • The study involved 21 recovered COVID-19 patients and 20 healthy controls, using advanced MRI techniques to assess cardiac function and tissue properties.
  • Results showed 71.43% of COVID-19 patients had abnormal MRI findings, including elevated T2 values and reduced ejection fractions, indicating potential ongoing heart issues.
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The discovery of ferromagnetic two-dimensional van der Waals materials has opened up opportunities to explore intriguing physics and to develop innovative spintronic devices. However, controllable synthesis of these 2D ferromagnets and enhancing their stability under ambient conditions remain challenging. Here, we report chemical vapor deposition growth of air-stable 2D metallic 1T-CrTe ultrathin crystals with controlled thickness.

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Article Synopsis
  • Room-temperature antiferromagnetic spintronic devices struggle with low signal read-out due to limited anisotropic magnetoresistance in antiferromagnets.
  • The study demonstrates using giant piezoelectric strain modulation and anomalous Hall resistance in a noncollinear antiferromagnetic material (Mn Ga) to potentially enhance signal detection.
  • Tunnel-junction devices were developed with a small diameter, achieving over 10% tunneling resistance ratio at room temperature, indicating promising applications for noncollinear antiferromagnets in high-performance spintronic technologies.
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Article Synopsis
  • - The study demonstrates the successful creation of noncollinear antiferromagnetic MnGe thin films on insulating oxide substrates, showing promising electrical properties.
  • - Key effects observed include the anomalous Hall effect and significant parallel negative magnetoresistance, supporting theoretical predictions of Weyl fermions in MnGe.
  • - The integration of these thin films onto ferroelectric PMN-PT substrates allows for reversible manipulation of resistance using electric fields, highlighting the potential use of MnGe in information storage technologies.
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Objectives: To explore the relationship between the imaging manifestations and clinical classification of COVID-19.

Methods: We conducted a retrospective single-center study on patients with COVID-19 from Jan. 18, 2020 to Feb.

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Article Synopsis
  • - Recent advancements in antiferromagnetic spintronics highlight the potential of electric-field control to create energy-efficient devices by reducing Joule heating.
  • - The review covers various modern research topics, including Néel spin-orbit torque, chiral spintronics, and memory devices, focusing on their implications for antiferromagnetic materials.
  • - The study emphasizes the future prospects of developing room-temperature antiferromagnetic junctions and innovative spinlogic devices, aiming to accelerate growth in this field.
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Background: It is a permanent challenge to differentiate small solid lung nodules. Massive data, extracted from medical image through radiomics analysis, may help early diagnosis of lung cancer. The aim of this study was to assess the usefulness of a quantitative radiomic model developed from baseline low-dose computed tomography (LDCT) screening for the purpose of predicting malignancy in small solid pulmonary nodules (SSPNs).

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Article Synopsis
  • - Antiferromagnetic (AFM) devices show promise for fast switching and resistance to magnetic fields, with examples including low-temperature AFM spin-valves and room-temperature AFM memory using unique heating or torque methods for writing data.
  • - The research combines piezoelectric materials with high-Néel-temperature antiferromagnet MnPt to create a memory system that exhibits non-volatile resistance states stable under strong magnetic fields, remaining unaffected by these fields during switching.
  • - This innovative piezoelectric, strain-controlled AFM memory has potential applications for low-energy, high-density memory, achieving a tunneling anisotropic magnetoresistance of about 11.2% at room temperature.
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Separation of vanadium from molybdates is an essential task for processing the leaching solution of hazardous spent hydrodesulphurization (HDS) catalyst. In this study, the difference in the main naturally occurring mineral forms of Mo and V inspired us to develop a method for the deep removal of V from molybdate solution using FeO as an adsorbent. First, the adsorbent was synthesized with coprecipitation method, and then it was characterized by XRD, TEM, and VSM.

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