0000000000638242

AUTHOR

Pablo Jarillo-herrero

showing 6 related works from this author

Deep-Learning-Enabled Fast Optical Identification and Characterization of 2D Materials.

2020

© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Advanced microscopy and/or spectroscopy tools play indispensable roles in nanoscience and nanotechnology research, as they provide rich information about material processes and properties. However, the interpretation of imaging data heavily relies on the “intuition” of experienced researchers. As a result, many of the deep graphical features obtained through these tools are often unused because of difficulties in processing the data and finding the correlations. Such challenges can be well addressed by deep learning. In this work, the optical characterization of 2D materials is used as a case study, and a neural-network-based algorithm is de…

Materials scienceSpeedupbusiness.industryMechanical EngineeringDeep learningProbability and statistics02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnologyMachine learningcomputer.software_genre01 natural sciencesImaging data0104 chemical sciencesMechanics of MaterialsGeneral Materials ScienceOptical identificationArtificial intelligence0210 nano-technologybusinessTransfer of learningcomputerIntuitionAdvanced materials (Deerfield Beach, Fla.)
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Electrical control of 2D magnetism in bilayer CrI3

2018

The challenge of controlling magnetism using electric fields raises fundamental questions and addresses technological needs such as low-dissipation magnetic memory. The recently reported two-dimensional (2D) magnets provide a new system for studying this problem owing to their unique magnetic properties. For instance, bilayer chromium triiodide (CrI3) behaves as a layered antiferromagnet with a magnetic field-driven metamagnetic transition. Here, we demonstrate electrostatic gate control of magnetism in CrI3 bilayers, probed by magneto-optical Kerr effect (MOKE) microscopy. At fixed magnetic fields near the metamagnetic transition, we realize voltage-controlled switching between antiferroma…

Kerr effectMagnetismBiomedical EngineeringFOS: Physical sciencesBioengineering02 engineering and technology01 natural sciencesCondensed Matter::Materials ScienceElectric fieldMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesAntiferromagnetismGeneral Materials ScienceElectrical and Electronic Engineering010306 general physicsPhysicsCondensed Matter - Mesoscale and Nanoscale PhysicsSpintronicsCondensed matter physics021001 nanoscience & nanotechnologyCondensed Matter PhysicsAtomic and Molecular Physics and OpticsMagnetic fieldFerromagnetismMagnetCondensed Matter::Strongly Correlated Electrons0210 nano-technologyNature Nanotechnology
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Enhanced superconductivity upon weakening of charge density wave transport in 2H-TaS2 in the two-dimensional limit

2018

Layered transition-metal dichalcogenides that host coexisting charge-density wave (CDW) and superconducting orders provide ideal systems for exploring the effects of dimensionality on correlated electronic phases. Dimensionality has a profound effect on both superconductivity and CDW instabilities. Here we report a substantial enhancement of the superconducting ${T}_{c}$ to 3.4 K for $2H\text{\ensuremath{-}}{\mathrm{TaS}}_{2}$ in the monolayer limit, compared to 0.8 K in the bulk. In addition, the transport signature of a CDW phase transition vanishes in the two-dimensional limit. In our analysis of electronic and vibrational properties of this material, we show that a reduction of the CDW …

SuperconductivityPhysicsPhase transitionCondensed matter physicsOrder (ring theory)Fermi energy02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesAmplitudeCondensed Matter::Superconductivity0103 physical sciencesMonolayerDensity of statesCondensed Matter::Strongly Correlated Electrons010306 general physics0210 nano-technologyCharge density wavePhysical Review B
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Probing magnetism in 2D van der Waals crystalline insulators via electron tunneling

2018

Magnetic insulators are a key resource for next-generation spintronic and topological devices. The family of layered metal halides promises varied magnetic states, including ultrathin insulating multiferroics, spin liquids, and ferromagnets, but device-oriented characterization methods are needed to unlock their potential. Here, we report tunneling through the layered magnetic insulator CrI₃ as a function of temperature and applied magnetic field.We electrically detect the magnetic ground state and interlayer coupling and observe a fieldinducedmetamagnetic transition.The metamagnetic transition results in magnetoresistances of 95, 300, and 550% for bilayer, trilayer, and tetralayer CrI₃ bar…

Materials scienceFísica de la Materia CondensadaMagnetismFOS: Physical sciencesMagnetic insulators02 engineering and technology01 natural sciencessymbols.namesakeCondensed Matter::Materials ScienceCondensed Matter - Strongly Correlated ElectronsMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesMultiferroicsElectron tunneling010306 general physicsQuantum tunnellingCondensed Matter - Materials ScienceMultidisciplinaryStrongly Correlated Electrons (cond-mat.str-el)SpintronicsCondensed matter physicsCondensed Matter - Mesoscale and Nanoscale PhysicsMagnonMaterials Science (cond-mat.mtrl-sci)Crystalline insulators021001 nanoscience & nanotechnologyCondensed Matter::Mesoscopic Systems and Quantum Hall EffectMagnetic fieldFerromagnetismsymbolsCondensed Matter::Strongly Correlated Electronsvan der Waals force0210 nano-technology
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Deep-Learning-Enabled Fast Optical Identification and Characterization of Two-Dimensional Materials

2019

Advanced microscopy and/or spectroscopy tools play indispensable role in nanoscience and nanotechnology research, as it provides rich information about the growth mechanism, chemical compositions, crystallography, and other important physical and chemical properties. However, the interpretation of imaging data heavily relies on the "intuition" of experienced researchers. As a result, many of the deep graphical features obtained through these tools are often unused because of difficulties in processing the data and finding the correlations. Such challenges can be well addressed by deep learning. In this work, we use the optical characterization of two-dimensional (2D) materials as a case stu…

Condensed Matter - Materials SciencePhysics - Data Analysis Statistics and ProbabilityMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesApplied Physics (physics.app-ph)Physics - Applied PhysicsData Analysis Statistics and Probability (physics.data-an)
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Enhanced Superconductivity and Suppression of Charge-density Wave Order in 2H-TaS$_2$ in the Two-dimensional Limit

2017

As superconductors are thinned down to the 2D limit, their critical temperature $T_c$ typically decreases. Here we report the opposite behavior, a substantial enhancement of $T_c$ with decreasing thickness, in 2D crystalline superconductor 2H-TaS$_2$. Remarkably, in the monolayer limit, $T_c$ increases to 3.4 K compared to 0.8 K in the bulk. Accompanying this trend in superconductivity, we observe suppression of the charge-density wave (CDW) transition with decreasing thickness. To explain these trends, we perform electronic structure calculations showing that a reduction of the CDW amplitude results in a substantial increase of the density of states at the Fermi energy, which contributes t…

Superconductivity (cond-mat.supr-con)Condensed Matter - Mesoscale and Nanoscale PhysicsCondensed Matter::SuperconductivityCondensed Matter - SuperconductivityMesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesCondensed Matter::Strongly Correlated Electrons
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