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      High mobility in a van der Waals layered antiferromagnetic metal

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          Abstract

          We introduce a van der Waals material that exhibits a very high electronic mobility and antiferromagnetism and can be exfoliated.

          Abstract

          Van der Waals (vdW) materials with magnetic order have been heavily pursued for fundamental physics as well as for device design. Despite the rapid advances, so far, they are mainly insulating or semiconducting, and none of them has a high electronic mobility—a property that is rare in layered vdW materials in general. The realization of a high-mobility vdW material that also exhibits magnetic order would open the possibility for novel magnetic twistronic or spintronic devices. Here, we report very high carrier mobility in the layered vdW antiferromagnet GdTe 3. The electron mobility is beyond 60,000 cm 2 V −1 s −1, which is the highest among all known layered magnetic materials, to the best of our knowledge. Among all known vdW materials, the mobility of bulk GdTe 3 is comparable to that of black phosphorus. By mechanical exfoliation, we further demonstrate that GdTe 3 can be exfoliated to ultrathin flakes of three monolayers.

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          Gate-tunable room-temperature ferromagnetism in two-dimensional Fe3GeTe2

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            Magnetism in two-dimensional van der Waals materials

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              Giant tunneling magnetoresistance in spin-filter van der Waals heterostructures

              Magnetic multilayer devices that exploit magnetoresistance are the backbone of magnetic sensing and data storage technologies. Here, we report multiple-spin-filter magnetic tunnel junctions (sf-MTJs) based on van der Waals (vdW) heterostructures in which atomically thin chromium triiodide (CrI3) acts as a spin-filter tunnel barrier sandwiched between graphene contacts. We demonstrate tunneling magnetoresistance which is drastically enhanced with increasing CrI3 layer thickness, reaching a record 19,000% for magnetic multilayer structures using four-layer sf-MTJs at low temperatures. Using magnetic circular dichroism measurements, we attribute these effects to the intrinsic layer-by-layer antiferromagnetic ordering of the atomically thin CrI3. Our work reveals the possibility to push magnetic information storage to the atomically thin limit and highlights CrI3 as a superlative magnetic tunnel barrier for vdW heterostructure spintronic devices.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                February 2020
                07 February 2020
                : 6
                : 6
                : eaay6407
                Affiliations
                [1 ]Department of Chemistry, Princeton University, Princeton, NJ 08544, USA.
                [2 ]Department of Physics, Princeton University, Princeton, NJ 08544, USA.
                [3 ]Department of Physics, Boston College, Boston, MA 02467, USA.
                [4 ]Max-Planck-Institut für Festkörperforschung, Heisenbergstraße 1, D-70569 Stuttgart, Germany.
                [5 ]Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA.
                Author notes
                [* ]Corresponding author. Email: lschoop@ 123456princeton.edu
                Author information
                http://orcid.org/0000-0001-8041-7161
                http://orcid.org/0000-0001-5156-2693
                http://orcid.org/0000-0001-6061-8441
                http://orcid.org/0000-0002-2778-9166
                http://orcid.org/0000-0002-8157-3892
                http://orcid.org/0000-0003-3359-4880
                http://orcid.org/0000-0003-4996-8904
                http://orcid.org/0000-0002-7541-0245
                http://orcid.org/0000-0001-7166-1058
                http://orcid.org/0000-0003-3459-4241
                Article
                aay6407
                10.1126/sciadv.aay6407
                7007265
                32083184
                69d7c1dd-2168-406a-840f-57cca5121c61
                Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 05 July 2019
                : 22 November 2019
                Funding
                Funded by: doi http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: DMR-1420541
                Funded by: doi http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: DMR-1410428
                Funded by: doi http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: DMR-0703406
                Funded by: doi http://dx.doi.org/10.13039/100000015, U.S. Department of Energy;
                Award ID: DE SC0017863
                Funded by: doi http://dx.doi.org/10.13039/100000015, U.S. Department of Energy;
                Award ID: DE-AC02-06CH11357
                Funded by: doi http://dx.doi.org/10.13039/100000183, Army Research Office;
                Award ID: ARO W911NF-12-1-0461
                Funded by: doi http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: SCH 1730/1-1
                Funded by: doi http://dx.doi.org/10.13039/100000997, Arnold and Mabel Beckman Foundation;
                Award ID: Beckman Young Investigator grant
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Materials Science
                Materials Science
                Custom metadata
                Nielsen Marquez

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