Two-dimensional van der Waals (vdW) heterostructures are an attractive platform for studying exchange bias due to their defect-free and atomically flat interfaces. Chromium thiophosphate (CrPS), an antiferromagnetic material, possesses uncompensated magnetic spins in a single layer, rendering it a promising candidate for exploring exchange bias phenomena. Recent findings have highlighted that naturally oxidized vdW ferromagnetic FeGeTe exhibits exchange bias, attributed to the antiferromagnetic coupling of its ultrathin surface oxide layer (O-FGT) with the underlying unoxidized FeGeTe. Anomalous Hall measurements are employed to scrutinize the exchange bias within the CrPS/(O-FGT)/FeGeTe heterostructure. This analysis takes into account the contributions from both the perfectly uncompensated interfacial CrPS layer and the interfacial oxide layer. Intriguingly, a distinct and nonmonotonic exchange bias trend is observed as a function of temperature below 140 K. The occurrence of exchange bias induced by a "preset field" implies that the prevailing phase in the polycrystalline surface oxide is ferrimagnetic FeO. Moreover, the exchange bias induced by the ferrimagnetic FeO is significantly modulated by the presence of the van der Waals antiferromagnetic CrPS layer, forming a heterostructure, along with additional iron oxide phases within the oxide layer. These findings underscore the intricate and complex nature of exchange bias in van der Waals heterostructures, highlighting their potential for tailored manipulation and control.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acsnano.3c13034DOI Listing

Publication Analysis

Top Keywords

exchange bias
36
van der
16
der waals
16
oxide layer
12
exchange
9
bias
9
surface oxide
8
crps layer
8
bias induced
8
ferrimagnetic feo
8

Similar Publications

Exchange-Biased Fe/FeF Nanocomposites: Unveiling the Structural Insights into Spin-Dependent Tunnel Transport.

ACS Appl Mater Interfaces

December 2024

Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai 980-8578, Japan.

Spin-dependent charge tunneling transport of magnetic nanocomposites under alternating current or direct current has revolutionized the understanding of the quantum-mechanical phenomenon in complex granular solids. The tunnel magnetodielectric (TMD) and tunnel magnetoresistance (TMR) effects are two critical functionalities in this context, where dielectric permittivity and electrical resistance, respectively, change in response to an applied magnetic field due to charge tunneling. However, the structural correlation between TMD and TMR, as well as the mechanisms, remains poorly understood, largely due to the challenges in directly characterizing nanoscale intergranular interactions.

View Article and Find Full Text PDF

Background: Indexing peak oxygen uptake (VOpeak) to total body mass can underestimate cardiorespiratory fitness (CRF) in women, older adults, and individuals with obesity. The primary objective of this multicenter study was to derive and validate a body size-independent scaling metric for VOpeak. This metric was termed exercise body mass (EBM).

View Article and Find Full Text PDF

Identifying potential predictive indicators for reimplantation timing in two-stage revision: a meta-analysis and system review.

Arch Orthop Trauma Surg

December 2024

Department of Orthopedic Surgery and Orthopedic Research Institute, Stem Cell and Tissue Engineering Research Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.

Purpose: The two-stage exchange revision represents a pivotal strategy in the management of prosthetic joint infections, wherein the judicious timing of reimplantation serves as a crucial determinant for therapeutic success. At present, attempts have been made to utilize predictive models to establish the optimal timing for reimplantation; however, their predictive accuracy remains unsatisfactory. This inadequacy primarily arises from the lack of dependable predictive indicators, which demonstrate inconsistent effectiveness across various studies and occasionally yield contradictory outcomes.

View Article and Find Full Text PDF

Background: Chronic kidney disease (CKD) is a major global health problem. Hyperphosphatemia is frequent in CKD and a reason for increased morbidity and mortality as it generates hyperparathyroidism, high fibroblast growth factor 23 (FGF23), and hypocalcemia. Available hyperphosphatemia therapies still have limitations, including risk of metal overload, cardiovascular calcification, and systemic adverse effects (AEs).

View Article and Find Full Text PDF

Negative emotions such as loneliness, depression, and anxiety (LDA) are prevalent and pose significant challenges to emotional well-being. Traditional methods of assessing LDA, reliant on questionnaires, often face limitations because of participants' inability or potential bias. This study introduces emoLDAnet, an artificial intelligence (AI)-driven psychological framework that leverages video-recorded conversations to detect negative emotions through the analysis of facial expressions and physiological signals.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!