Imaging atomic-scale chemistry from fused multi-modal electron microscopy
作者机构:Department of Materials Science and EngineeringUniversity of MichiganAnn ArborMIUSA Mathematics and Computer Science DivisionArgonne National LaboratoryLemontILUSA Advanced Photon Source FacilityArgonne National LaboratoryLemontILUSA Dow Chemical Co.MidlandMIUSA Department of Material Science and EngineeringCornell UniversityIthacaNew YorkUSA School of Integrative EngineeringChung-Ang UniversitySeoulRepublic of Korea Department of PhysicsCornell UniversityIthacaNYUSA The Rowland Institute at HarvardCambridgeMAUSA Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMIUSA National Center for Electron MicroscopyLawrence Berkeley National LaboratoryMolecular FoundryBerkeleyCAUSA Applied Physics ProgramUniversity of MIchiganAnn ArborMIUnited States
出 版 物:《npj Computational Materials》 (计算材料学(英文))
年 卷 期:2022年第8卷第1期
页 面:164-171页
核心收录:
学科分类:07[理学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0703[理学-化学] 070202[理学-粒子物理与原子核物理] 0702[理学-物理学]
基 金:R.H.and J.S.acknowledge support from the Army Research Office,Computing Sciences(W911NF-17-S-0002)and Dow Chemical Company Work at the Molecular Foundry was supported by the Office of Basic Energy Sciences,of the U.S.Department of Energy under Contract no.DE-AC02-05CH11231.
摘 要:Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic interactions.Here,fused multi-modal electron microscopy offers high signal-to-noise ratio(SNR)recovery of material chemistry at nano-and atomic-resolution by coupling correlated information encoded within both elastic scattering(high-angle annular dark-field(HAADF))and inelastic spectroscopic signals(electron energy loss(EELS)or energy-dispersive x-ray(EDX)).By linking these simultaneously acquired signals,or modalities,the chemical distribution within nanomaterials can be imaged at significantly lower doses with existing detector hardware.In many cases,the dose requirements can be reduced by over one order of magnitude.This high SNR recovery of chemistry is tested against simulated and experimental atomic resolution data of heterogeneous nanomaterials.