0000000000638238

AUTHOR

David Macneill

showing 4 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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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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